HORIGUCHI, Yukio |
|---|
Faculty, Department/Institute
- Faculty of Informatics Department of Informatics
Academic status (qualification)
- Professor Apr. 1,2020
Undergraduate Degrees・University
- Kyoto University Faculty of EngineeringDepartment of Precision Engineering 1997 Graduated
Graduate Degrees・University
- Kyoto University Master's Degree Program Department of Precision Engineering 1999 Completed
- Kyoto University Doctor's Degree Program Department of Precision Engineering 2003 ABD- Coursework completed
Academic Degrees
- Master's degree Mar. 1999 Kyoto University
- Ph.D. Mar. 2005 Kyoto University
Homepage Address, E-mail Address
- Homepage Address：https://www2.itc.kansai-u.ac.jp/~yhorig/
- E-mail Address：yhorig@kansai-u.ac.jp
Research fields
| Research fields | keyword |
|---|---|
| User interface | |
| Human interface | |
| Intelligent informatics | |
| Sensitivity informatics/Soft computing | |
| Cognitive science | |
| Intelligent mechanics/Mechanical systems |
Research Career
- JSPS Research Fellowships for Young Scientists DC2 2001/4/1～2003年/3/31
- Research associate at Graduate School of Engineering, Kyoto University 2003/4/1～2007年/3/31
- Assistant professor at Graduate School of Engineering, Kyoto University 2007/4/1～2020年/3/31
- Visiting scholar at the University of Waterloo, Canada 2010/10/1～2011年/9/30
Awards
- Outstanding Paper Award Mar. 3,2010(Human Interface Society)
- SSI2014 Outstanding Paper Award Nov. 23,2014(The Society of Instrument and Control Engineers)
- IFAC HMS 2016 Asian Best Paper Award Sep. 2,2016(International Federation of Automatic Control, TC 4.5. Human-Machine Systems)
- SICE Tomota Award Sep. 22,2016(The Society of Instrument and Control Engineers)
- Outstanding Paper Award Sep. 22,2016(The Society of Instrument and Control Engineers)
- IFSA-SCIS 2017 Outstanding Poster Award Jun. 30,2017(International Fuzzy Systems Association)
- Outstanding Paper Award Sep. 14,2017(Japan Society of Fuzzy Theory and Intelligent Informatics)
- Contribution Award Sep. 10,2013(Japan Society for Fuzzy Theory and Intelligent Informatics)
- Contribution Award Sep. 14,2017(Japan Society for Fuzzy Theory and Intelligent Informatics)
- Contribution Award Sep. 4,2018(Japan Society for Fuzzy Theory and Intelligent Informatics)
- Contribution Award Sep. 8,2020(Japan Society for Fuzzy Theory and Intelligent Informatics)
- Contribution Award Aug. 30,2019(Japan Society for Fuzzy Theory and Intelligent Informatics)
- SSI Excellent Paper Awar Nov. 17,2020(The Society of Instrument and Control Engineers, System and Information Division)
- Best Paper Award Mar. 4,2022(Human Interface Society)
Academic Associations
| 所属学会・団体名 | 役職名 (役職在任期間) |
|---|---|
| The Society of Instrument and Control Engineers | Secretary of Technical Committee on Intelligent Systems(2007/～2010/), Vice Chair of Technical Committee on Human-Machine Systems(2013/1/1～2014/12/31), Chair of Technical Committee on Human-Machine Systems(2015/1/1～2016/12/31), Associate Editor of Transactions of the Society of Instrument and Control Engineers(2017/4/1～2020/3/31), Committee Member of Kansai Chapter(2007/1/～2010/1/) |
| The Institute of Systems, Control and Information Engineers | Member of Editorial Board(2015/5/21～2017/6/9), Proofreader of Editorial Board(2008/6/～2010/5/) |
| Human Interface Society | Member of Committee on Special Interest Groups(2007/3/～2009/3/) |
| Japanese Society of Fuzzy Theory and Intelligent Informatics | Treasurer of Kansai Chapter(2009/4/1～2011/3/31), Auditor of Kansai Chapter(2011/4/1～2013/3/31), Member of Committee for Technical Activities(2013/6/), Executive Board Member(2015/6/21～2017/6/3), Chair of Committee for Technical Activities(2015/6/21～2017/6/3), Auditor(2017/6/3～2019/6/16), Councilor(2017/6/3～2021/6/19), Executive Board Member(2021/6/19) |
| The Iron and Steel Institute of Japan | |
| Institute of Electrical and Electronics Engineers |
Intellectual Property Rights
- (Acquired)
- application number：2009-272305 (Nov. 30,2009)
- application number：2011-110688 (Jun. 9,2011)
- application number：5345046
- (Acquired)
- application number：2009-289375 (Dec. 21,2009)
- application number：5383468
- (Acquired)
- application number：2009-029374 (Feb. 12,2009)
- application number：WO2010-092981 (Aug. 16,2012)
- application number：5436460
- (Published)
- application number：2006-070772 (Mar. 15,2006)
- application number：2007-248199 (Sep. 27,2007)
- (Published)
- application number：2004-268845 (Sep. 15,2004)
- application number：2006-085389 (Mar. 30,2006)
- (Acquired)
- application number：2020-157997 (Sep. 21,2020)
- application number：2022-051600 (Apr. 1,2022)
- application number：7333918
- (Pending)
- application number：2020-184035 (Nov. 3,2020)
Joint Projects/Commissioned Projects
2018 - 2022 Joint research collaboration between industry and academia
2018 - 2019 Domestic Joint Research
2015 Domestic Joint Research
2019 - 2020 From contract research companies
2021 - 2022 Domestic Joint Research
Research Publications
| No. | Type of publication | Date of publication (Date of presentation) | Title | Type of research result | Jointly authored or single authored | Publisher and journal name | Volume number |
|---|---|---|---|---|---|---|---|
| 1 | Academic presentation7 | 2023/12/2～2023,12,02,,, | Do Psychological Effects of Lying Show Up in Changes in Pupil Diameter? | Other | Co-authored | ||
| 2 | Academic presentation7 | 2023/9/5～2023,09,05,,, | Harmonized Fitness : Research Results on Health Smart Network with Ensemble of Exercise and Music | Other | Co-authored | Proceedings of the 39th Fuzzy System Symposium | pp. 248-250 |
| 3 | Academic presentation7 | 2023/9/5～2023,09,05,,, | A Study on Anomaly Detection from Respiratory Motion Curves Based on Time-series Clustering Method | Other | Co-authored | Proceedings of the 39th Fuzzy System Symposium | pp. 73-78 |
| 4 | Academic presentation7 | 2023/9/5～2023,09,05,,, | Visualization and Analysis of Differences in Walking Motions with Gaussian Process Dynamical Model | Other | Co-authored | Proceedings of the 39th Fuzzy System Symposium | pp. 261-265 |
| 5 | Academic presentation7 | 2023/3/29～2023,03,29,,, | A Comparison of Time-series Clustering Methods for Anomaly Detection from Respiratory Motion Curves | Other | Co-authored | Proceedings of the 50th SICE Symposium on Intelligent Systems | pp. 151-155 |
| 6 | Academic presentation7 | 2023/3/28～2023,03,28,,, | A Comparison of Time-series Clustering Methods for Anomaly Detection from Respiratory Motion Curves | Other | Co-authored | Proceedings of the 50th SICE Symposium on Intelligent Systems | pp. 151-155 |
| 7 | International academic conference8 | 2022/11/27～2022,11,27,,, | Exploring the role of listening comprehension in listening-to-summarize tasks: Preliminary Findings | Other | Co-authored | The 42nd Language Testing Forum | |
| 8 | Academic presentation7 | 2022/9/21～2022,09,21,,, | Ecological Interface Design for Shared Control of Tandem Mills (Part 2) | Other | Single-Author | Current Advances in Materials and Processes: Report of the ISIJ Meeting | Vo. 35, pp. 343-346 |
| 9 | Academic presentation7 | 2022/9/16～2022,09,16,,, | Harmonized Fitness: Introduction of Research Topics on Health Smart Network with Ensemble of Exercise and Music | Other | International coauthorship | Proceedings of the 38th Fuzzy System Symposium | pp. 634-635 |
| 10 | Academic presentation7 | 2022/9/16～2022,09,16,,, | Characterizing Differences in Walking Motions with Conditional Gaussian Process Dynamical Model | Other | Co-authored | Proceedings of the 38th Fuzzy System Symposium | |
| 11 | Academic presentation7 | 2022/8/31～2022,08,31,,, | Extraction and Analysis of English Learners’ Eye-Gaze Patterns in Reading Using Change Point Detection Algorithm | Other | Co-authored | Proceedings of Human Interface Symposium 2022 | pp. 201-205 |
| 12 | Magazine article15 | 2022/8/25～2022,08,25,,, | Making Understanding Visible for Persuasive UI Design: User Interface Supporting Motion Point Teaching in Off-line Industrial Robot Programming | Academic Journal | Co-authored | Journal of Human Interface Society | Vol.24, No. 3, pp. 4-9 |
| 13 | Academic presentation7 | 2022/8/24～2022,08,24,,, | Exploring the Role of Notetaking Strategies in Listening-to-Summarize Tasks | Other | International coauthorship | The 61st JACET International Convention | |
| 14 | Papers1 | 2022/1～2022,01,00,,, | Counterfactual inference to predict causal knowledge graph for relational transfer learning by assimilating expert knowledge --Relational feature transfer learning algorithm | Academic Journal | Co-authored | Advanced Engineering Informatics | Volume 51 |
| 15 | Academic presentation7 | 2021/9/13～2021/9/152021,09,13,2021,09,15 | Sleep Apnea Detection Based on Respiratory Curve Segmentation by Singular Spectrum Transformation | Other | Co-authored | Proceedings of the Fuzzy System Symposium | Vol. 37 |
| 16 | Academic presentation7 | 2021/9/13～2021/9/152021,09,13,2021,09,15 | Harmonized Fitness: Health Smart Network with Ensemble of Exercise and Music | Other | International coauthorship | Proceedings of the Fuzzy System Symposium | Vol. 37 |
| 17 | Papers1 | 2021/5/19～2021,05,19,,, | Introduce structural equation modelling to machine learning problems for building an explainable and persuasive model | Academic Journal | Co-authored | SICE Journal of Control, Measurement, and System Integration | Volume 14, Issue 2 |
| 18 | Papers1 | 2020/12/25～2020,12,25,,, | Cluster Size-Constrained Fuzzy C-Means with Density Center Searching | Academic Journal | Co-authored | International Journal of Fuzzy Logic and Intelligent Systems | Vol. 20, No. 4, pp. 346-357 |
| 19 | Academic presentation7 | 2020/11/17～2020,11,17,,, | A Multi-Modal Topic Model for Extraction of Health Condition Types from Specific Health Guidance Documents | Other | Co-authored | Proceedings of the 2020 SICE System and Information Division Symposium | pp.654-659 |
| 20 | Academic presentation7 | 2020/11/17～2020,11,17,,, | Evaluating Legibility of Intent-Conveying Handover Motion with Gaussian Process Dynamical Model | Other | Co-authored | The Society of Instrument and Control Engineers | |
| 21 | Academic presentation7 | 2020/11/16～2020,11,16,,, | Off-policy Deep Reinforcement Learning with Distribution Matching Imitation | Other | Co-authored | Proceedings of the 2020 SICE System and Information Division Symposium | pp.423-428 |
| 22 | International academic conference8 | 2020/9/25～2020,09,25,,, | Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems | Other | Co-authored | Proceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japan | pp. 826-831 |
| 23 | Academic presentation7 | 2020/9/17～2020,09,17,,, | Ecological Interface Design for Shared Control of Tandem Mills | Other | Single-Author | Current Advances in Materials and Processes: Report of the ISIJ Meeting | Vol. 33, pp. 438-441 |
| 24 | Papers1 | 2020/5/25～2020,05,25,,, | An Automated Usability Evaluation Method Based on Structural Compatibility of Information Resource Distribution and Screen Transition Design with User Tasks | Academic Journal | Co-authored | The Transactions of Human Interface Society | Vol. 22, No. 2, pp. 101-112 |
| 25 | Papers1 | 2020/5/25～2020,05,25,,, | User Interface Supporting Motion Point Teaching in Off-line Industrial Robot Programming: Development and Evaluation of Orthographic Views and Pointing-based Operation Features | Academic Journal | Co-authored | The Transactions of Human Interface Society | Vol. 22, No. 2, pp. 89-100 |
| 26 | Academic presentation7 | 2020/5/20～2020/5/222020,05,20,2020,05,22 | Visualizing Proficient Tacit Knowledge for Centering Operation of the Steel Plate Leveler Shear Line | Other | Co-authored | Proceedings of the 64th Annual Conference of the Institute of Systems, Control and Information Engineers | pp. 411-418 |
| 27 | Academic presentation7 | 2020/5/20～2020/5/222020,05,20,2020,05,22 | Extraction of Pupil Diameter Variation Patterns with Cognitive Load Using Locality Preserving Projection | Other | Co-authored | Proceedings of the 64th Annual Conference of the Institute of Systems, Control and Information Engineers | pp. 41-46 |
| 28 | International academic conference8 | 2019/12/7～2019/12/92019,12,07,2019,12,09 | Eye-tracking Study: Investigating Different Types of Reading During Summary Writing | Other | Co-authored | The 7th British Council New Directions in English Language Assessment Conference | |
| 29 | International academic conference8 | 2019/12/4～2019/12/72019,12,04,2019,12,07 | A Wrapper Algorithm for Fuzzy Cluster Membership Modification Based on Size Constraints | Other | Co-authored | Proceedings of the 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering | pp. 122-130 |
| 30 | Academic presentation7 | 2019/11/25～2019,11,25,,, | Item Set Information to Evaluate Choice Combinations for Effective Estimation of User's Preference | Other | Co-authored | Proceedings of the 2019 SICE System and Information Division Symposium | pp. 69-70 |
| 31 | Academic presentation7 | 2019/11/25～2019,11,25,,, | Hierarchical Dirichlet Process Hidden Markov Modeling of Plant Operator's Intent behind Observed Area-of-Interest Sequences | Other | Co-authored | Proceedings of the 2019 SICE System and Information Division Symposium | pp. 85-88 |
| 32 | International academic conference8 | 2019/10/16～2019/10/182019,10,16,2019,10,18 | Eye-Tracking Study on Cognitive Processing of Reading Used for Comprehension and Summarization on TOEFL iBT® | Other | Co-authored | Proceedings of the 6th Annual International Conference of the Asian Association for Language Assessment | pp. 83-84 |
| 33 | International academic conference8 | 2019/9/19～2019,09,19,,, | Measurement of Driver's Mental Workload in Partial Autonomous Driving | Other | Co-authored | IFAC-PapersOnLine | Vol. 52, Issue 19, pp. 347-352 |
| 34 | Academic presentation7 | 2019/9/17～2019,09,17,,, | Behavior Policy Learning beyond Demonstrations by Shifting from Imitating Others to Self-imitation | Other | Co-authored | Proceedings of the 29th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational Intelligence | A2-1 |
| 35 | Academic presentation7 | 2019/9～2019,09,00,,, | Usability Estimation Based on Structural Compatibilities of Information Resource Distribution and Screen Transition Design with User Task | Other | Co-authored | Proceedings of Human Interface Symposium 2019 | pp. 357-363 |
| 36 | Academic presentation7 | 2019/9～2019,09,00,,, | Orthographic Views and Pointing-based Operation Features to Streamline Motion Point Teaching in Off-line Industrial Robot Programming | Other | Co-authored | Proceedings of Human Interface Symposium 2019 | pp. 625-630 |
| 37 | Academic presentation7 | 2019/8/31～2019,08,31,,, | A Labeled Latent Dirichlet Allocation for Knowledge Extraction from Specific Health Guidance Documents | Other | Co-authored | Proceedings of the 35th Fuzzy System Symposium | pp. 688-693 |
| 38 | Academic presentation7 | 2019/8/30～2019,08,30,,, | Extraction of Respiratory Motion Features from Sleeping Body Pressure Distribution Time Series by Generalized Morphological Component Analysis | Other | International coauthorship | Proceedings of the 35th Fuzzy System Symposium | pp. 529-534 |
| 39 | Academic presentation7 | 2019/8/29～2019,08,29,,, | Simulating Visual Attention of Human Driver in Different Task Engagement Modes by Combination of Moving Object Attractiveness Map and Saliency Map | Other | Co-authored | Proceedings of the 35th Fuzzy System Symposium | pp. 88-92 |
| 40 | Papers1 | 2019/7～2019,07,00,,, | Methodological study of safety analysis for dynamic alteration of work procedures by uniting functional resonance analysis and activity theory | Academic Journal | Co-authored | Journal of Reliability Engineering Association of Japan | Vol. 41, No. 4, pp. 249-262 |
| 41 | Academic presentation7 | 2019/5/24～2019,05,24,,, | Automatic Sleep Staging from Cardio-Respiratory Signals Using Convolutional Recurrent Neural Network with Conditional Random Fields | Other | Co-authored | Proceedings of the 63rd Annual Conference of the Institute of Systems, Control and Information Engineers | pp. 1278-1281 |
| 42 | Academic presentation7 | 2019/1/21～2019,01,21,,, | Dynamic inversion attitude controller for unmanned helicopter | Other | Co-authored | D2-4 | |
| 43 | International academic conference8 | 2018/12/6～2018,12,06,,, | Refining Fuzzy c-Means Membership Functions to Assimilate A Priori Knowledge of Cluster Sizes | Other | Co-authored | Proceedings of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems | pp. 654-659 |
| 44 | Academic presentation7 | 2018/9/20～2018,09,20,,, | Analysis of Latent Structures in Area-of-Interest Sequences to Extract Plant Operation Skills | Other | Co-authored | Current Advances in Materials and Processes: Report of the ISIJ Meeting | Vol. 31, pp. 444-447 |
| 45 | Academic presentation7 | 2018/9/6～2018,09,06,,, | Effects of Sound Modulation to Make Data Sonification Tolerant to Masking Noise | Other | Co-authored | Proceedings of Human Interface Symposium 2018 | pp. 176-181 |
| 46 | Academic presentation7 | 2018/9/6～2018,09,06,,, | Study on Sonification Method for Parallel Processing of Visual Information in Multi-task Condition | Other | Co-authored | Proceedings of Human Interface Symposium 2018 | pp. 182-187 |
| 47 | Academic presentation7 | 2018/9/4～2018,09,04,,, | Estimation of Sleeping Heart Rate from Body Pressure Distribution Time Series by Generalized Morphological Component Analysis | Other | Co-authored | Proceedings of the 34th Fuzzy System Symposium | pp. 429-434 |
| 48 | Academic presentation7 | 2018/9/3～2018,09,03,,, | Saliency Map Incorporating Attractiveness of Moving Object to Estimate Human Driver's Potential Gaze Area | Other | Co-authored | Proceedings of the 34th Fuzzy System Symposium | pp. 265-267 |
| 49 | Academic presentation7 | 2018/9/3～2018,09,03,,, | Unsupervised Sentiment Analysis to Extract Topics and Their Semantic Orientations from Natural Language Text | Other | Co-authored | Proceedings of the 34th Fuzzy System Symposium | pp. 217-221 |
| 50 | International academic conference8 | 2018/6/13～2018,06,13,,, | Numerical Safety Analysis of Complex Supply-Chain Systems Integrating Functional Resonance Analysis Method and Cellular Automaton | Other | Co-authored | The 12th FRAMily meeting/workshop | |
| 51 | International academic conference8 | 2018/5/24～2018/5/252018,05,24,2018,05,25 | Double-Looped Safety Analysis for Organizational Accidents Combining Activity Theory and Functional Resonance Analysis Methods and its Application to Railway Incidents | Other | Co-authored | Proceedings of 3rd International Workshop on Functional Modelling for Design and Operation of Engineering Systems | pp. 26-29 |
| 52 | International academic conference8 | 2018/5/24～2018/5/252018,05,24,2018,05,25 | Numerical Simulation of Complex Supply-Chain Systems with an Extended Model of Functional Resonance Analysis Method | Other | Co-authored | Proceedings of 3rd International Workshop on Functional Modelling for Design and Operation of Engineering Systems | pp. 39-42 |
| 53 | Academic presentation7 | 2018/5/16～2018,05,16,,, | Numerical Analysis of Production Supply Chains Affected by Variabilities with Functional Resonance Analysis Method | Other | Co-authored | Proceedings of the 62nd Annual Conference of the Institute of Systems, Control and Information Engineers | 322-2 |
| 54 | Book2 | 2018/4～2018,04,00,,, | Artifact Design | Monograph | Co-authored | Kyoritsu Shuppan Co., Ltd. | |
| 55 | Academic presentation7 | 2017/12/21～2017,12,21,,, | Analysis of Industrial Robot Programming Environments Based on Distributed Information Resources Perspective and Software Design Process Model | Other | Co-authored | Proceedings of the 18th SICE System Integration Division Symposium | pp. 1845-1848 |
| 56 | International academic conference8 | 2017/11/3～2017/11/92017,11,03,2017,11,09 | Monitoring of respiratory cycles utilizing sensors on sleeping mat | Other | International coauthorship | Proceedings of ASME 2017 International Mechanical Engineering Congress and Exposition | IMECE2017-72240, V003T04A011 |
| 57 | Papers1 | 2017/10/28～2017,10,28,,, | Safety Analysis for Resilient Complex Socio-Technical Systems with an Extended Functional Resonance Analysis Method | Academic Journal | Co-authored | International Journal of Astronautics and Aeronautical Engineering | Volume 2, Issue 2 |
| 58 | Academic presentation7 | 2017/9/14～2017,09,14,,, | Automatic sleep staging based on heart rate variability using recurrent neural network | Other | Co-authored | Proceedings of the 33rd Fuzzy System Symposium | pp. 349-354 |
| 59 | Academic presentation7 | 2017/9/14～2017,09,14,,, | Extraction of Driver's Regions of Interest Using Saliency Map with Optical Flow Features | Other | Co-authored | Proceedings of the 33rd Fuzzy System Symposium | pp. 553-558 |
| 60 | Academic presentation7 | 2017/9/13～2017,09,13,,, | Estimation of Respiratory and Heart Rates Based on Frequency Analysis of Body Pressure Distribution During Sleep | Other | International coauthorship | Proceedings of the 33rd Fuzzy System Symposium | pp. 181-184 |
| 61 | International academic conference8 | 2017/6/30～2017,06,30,,, | User Simulation to Inspect Menu Hierarchical Design Using Information Scent Model | Other | Co-authored | Proceedings of Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems | Paper ID: 266 |
| 62 | Academic presentation7 | 2017/5/25～2017,05,25,,, | Wall Effect on Aerodynamic Characteristics of Rotor | Other | International coauthorship | Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers | 355-3 |
| 63 | Academic presentation7 | 2017/5/24～2017,05,24,,, | Analysis of Feasibility of Procedure Based on Fuzzy Reasoning for Functional Resonance Analysis Method | Other | International coauthorship | Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers | 223-1 |
| 64 | Academic presentation7 | 2017/5/23～2017,05,23,,, | Investigation on Differences between Human and Automation Perceptions in Collaborative tasks towards Establishing their Joint Attention | Other | International coauthorship | Proceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers | 132-5 |
| 65 | Papers1 | 2017/1～2017,01,00,,, | Autonomous Error Recovery of Industrial Robots Using Hierarchical Planning System | Academic Journal | Co-authored | Transactions of the Society of Instrument and Control Engineers | Vol. 53, No. 1, p. 80-89 |
Academic presentationDo Psychological Effects of Lying Show Up in Changes in Pupil Diameter?UnrefereedOtherCo-authoredYukio Horiguchi;Hibiki Miyano2023/12/2～In this paper, we hypothesize that, if lying accompanies some psychological disturbance, the pupil diameter at that time would be larger than otherwise. We conducted an empirical study measuring the pupil response of respondents in an experimental task that simulated the Concealed Information Test. As a result of the experiment, although statistical significance was not recognized, it was suggested that the amount of pupil dilation in response to critical stimulus questions, where there is a need to intentionally answer falsely, was larger than that for non-critical stimulus questions.
Academic presentationHarmonized Fitness : Research Results on Health Smart Network with Ensemble of Exercise and MusicUnrefereedOtherCo-authoredIsao Hayashi;Michiyuki Hirokane;Yukio Horiguchi;Masataka Tokumaru;Arash Yazdanbakhshexercise therapy;music therapy;health promotionProceedings of the 39th Fuzzy System Symposiumpp. 248-2502023/9/5～Japan Society for Fuzzy Theory and Intelligent InformaticsVillas des Mariages KaruizawaRecently, the Cabinet Office is advocating the concept of ”Super City” that realize new lifestyles and businesses for fundamentally changing the state of society through AI. The authors have established a research unit of ”Health Smart Network” at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Specifically, the purpose of this research unit is to make health promotion services smarted with ”eHealth + AI”, create new social communication, and contribute to extending healthy life expectancy and sustaining a healthy life. In this presentation, we outline the concept of Kansai University’s ”Health Smart Network” and discuss the progress and results of various research on the theme of smart health promotion.
Academic presentationA Study on Anomaly Detection from Respiratory Motion Curves Based on Time-series Clustering MethodUnrefereedOtherCo-authoredJing Li;Yukio Horiguchisleep monitoring;anomaly detection;time-series analysis;clusteringProceedings of the 39th Fuzzy System Symposiumpp. 73-782023/9/5～Japan Society for Fuzzy Theory and Intelligent InformaticsVillas des Mariages KaruizawaIn polysomnography, a sleep technologist visually analyzes a time series of respiratory movements, i.e., the respiratory curve, measured with a RIP belt or other equipment to record abnormal respiratory events such as apneas and hypopneas. The present study aims to develop a method for detecting peculiar patterns in the respiratory curve to automate this analysis process. Our approach here is to divide the respiratory curve into partial time series using Singular Spectrum Transformation, then classify them based on the similarity of the time series patterns to identify essential features that characterize abnormal respiratory motions. This paper presents our investigation into applying the respiratory motion patterns obtained by a time series clustering method to detect abnormal respirations.
Academic presentationVisualization and Analysis of Differences in Walking Motions with Gaussian Process Dynamical ModelUnrefereedOtherCo-authoredYukio Horiguchi;Kotaro Tokuhisa;Daigo HirumaGaussian Process Dynamical Model;walking motion;motion analysis;latent variable modelProceedings of the 39th Fuzzy System Symposiumpp. 261-2652023/9/5～Japan Society for Fuzzy Theory and Intelligent InformaticsVillas des Mariages KaruizawaLocomotive syndrome is the decline in mobility function due to aging-related deterioration of the locomotor system, which increases the risk of falling. This study aims to analyze and quantify behavioral components associated with falling risk by measuring daily walking motions. We propose a walking motion analysis method based on the Gaussian Process Dynamics Model (GPDM) to detect changes in body usage. This method compresses gait motion data into a low-dimensional latent variable model using GPDM and visualizes the differences in body movements caused by behavioral conditions through the model's output.
Academic presentationA Comparison of Time-series Clustering Methods for Anomaly Detection from Respiratory Motion CurvesUnrefereedOtherCo-authoredYukio Horiguchi;Jing Lisleep monitoring;anomaly detection;time-series analysis;clusteringProceedings of the 50th SICE Symposium on Intelligent Systemspp. 151-1552023/3/29～The Society of Instrument and Control EngineersIn polysomnography, sleep lab technicians visually analyze respiratory motion time series, i.e., respiratory curves, measured with a RIP belt or other equipment to record abnormal respiratory events such as apneas and hypopneas. This study aims to develop a method to detect peculiar patterns in respiratory curves to automate this analysis process. The approach of the proposed method is to divide a respiratory curve into partial time series using Singular Spectrum Transformation, then classify them based on the similarity of the time-series patterns and identify the parts that represent abnormal respiratory motions. In this paper, we compare four time-series clustering methods of k-means(Euclidean), k-means(DTW), k-means(Soft-DTW), and k-Shape for the classification process of respiratory curve segments. The experimental results suggest that classifying respiratory curve segments requires time-series distance measures thatallow for differences in period and phase but not in scale.
Academic presentationA Comparison of Time-series Clustering Methods for Anomaly Detection from Respiratory Motion CurvesUnrefereedOtherCo-authoredHORIGUCHI,Yukio;Jing Lisleep monitoring;anomaly detection;time series analysis;clusteringProceedings of the 50th SICE Symposium on Intelligent Systemspp. 151-1552023/3/28～In polysomnography, sleep lab technicians visually analyze respiratory motion time series, i.e., respiratory curves, measured with a RIP belt or other equipment to record abnormal respiratory events such as apneas and hypopneas. This study aims to develop a method to detect peculiar patterns in respiratory curves to automate this analysis process. The approach of the proposed method is to divide a respiratory curve into partial time series using Singular Spectrum Transformation, then classify them based on the similarity of the time-series patterns and identify the parts that represent abnormal respiratory motions. In this paper, we compare four time-series clustering methods of k-means(Euclidean), k-means(DTW), k-means(Soft-DTW), and k-Shape for the classification process of respiratory curve segments. The experimental results suggest that classifying respiratory curve segments requires time-series distance measures thatallow for differences in period and phase but not in scale.
International academic conferenceExploring the role of listening comprehension in listening-to-summarize tasks: Preliminary FindingsUnrefereedOtherCo-authoredMikako Nishikawa;Yukio Horiguchi;Guoxing Yu:The 42nd Language Testing Forum2022/11/27～
Academic presentationEcological Interface Design for Shared Control of Tandem Mills (Part 2)UnrefereedOtherSingle-AuthorYukio HoriguchiUser Interface;Current Advances in Materials and Processes: Report of the ISIJ MeetingVo. 35, pp. 343-3462022/9/21～The Iron and Steel Institute of JapanFukuoka
Academic presentationHarmonized Fitness: Introduction of Research Topics on Health Smart Network with Ensemble of Exercise and MusicUnrefereedOtherInternational coauthorshipIsao Hayasi;Michiyuki Hirokane;Yukio Horiguchi;Masataka Tokumaru;Arash YazdanbakhshProceedings of the 38th Fuzzy System Symposiumpp. 634-6352022/9/16～Japan Society for Fuzzy Theory and Intelligent InformaticsOnlineRecently, the Cabinet Office is advocating a concept of "Super City" that realize new lifestyles and businesses for fundamentally changing the state of society by AI. The authors have established a research unit of "Health Smart Network" at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Specically, the purpose of this research unit is to make health promotion services smarted with "eHealth + AI", create new social communication, and contribute to extending healthy life expectancy and sustaining healthy life. In this presentation, we will outline the concept of the research unit of "Health Smart Network" and introduce various research topics on the theme of smart health promotion for the progress of future research.
Academic presentationCharacterizing Differences in Walking Motions with Conditional Gaussian Process Dynamical ModelUnrefereedOtherCo-authoredYukio Horiguchi;Daigo Hiruma;Kotaro TokuhisaGaussian Process;motion analysis;Proceedings of the 38th Fuzzy System Symposium2022/9/16～Japan Society for Fuzzy Theory and Intelligent InformaticsOnlineAs motor function improves or declines, the way to control the body changes even for the same class of actions. To investigate what parts of the body movements characterize such changes, it is practical to summarize a high-dimensional time series of body movements into a low-dimensional time series by using the information on the coordinated behavior across different body parts. Significant differences in the summarized motion series should likely originate from characteristic differences in body control. In this study, we apply a conditional Gaussian Process Dynamic model to walking motions and propose a method to analyze the characteristics of body motions based on the dynamics of latent variables derived from a high-dimensional body movement time series.
Academic presentationExtraction and Analysis of English Learners’ Eye-Gaze Patterns in Reading Using Change Point Detection AlgorithmUnrefereedOtherCo-authoredYukio Horiguchi;Haruna Kawai;Mikako Nishikawa;Hiroaki Nakanishi;堀口 由貴男eye-gaze pattern;eye tracking;time-series analysis;change point detectionProceedings of Human Interface Symposium 2022pp. 201-2052022/8/31～Human Interface SocietyOsakaIn order to gain insight into the cognitive processes that characterize the proficiency level of English as a Second Language (L2), this study experimented with measuring the eye-gaze point of L2 learners at different proficiency levels while reading English text. We applied the Singular Spectral Transformation, a change-point detection algorithm, and clustering method to the eye-gaze point time series to extract the characteristic patterns of eye-gaze movements. The analysis results suggest that the occurrence rate of particular eye-gaze patterns depends on the learners’ proficiency level.
Magazine articleMaking Understanding Visible for Persuasive UI Design: User Interface Supporting Motion Point Teaching in Off-line Industrial Robot ProgrammingUnrefereedAcademic JournalCo-authoredYukio Horiguchi;Soichiro IshikawaHuman-Machine Interface;Work Analysis;UI DesignJournal of Human Interface SocietyVol.24, No. 3, pp. 4-92022/8/25～Human Interface Society
Academic presentationExploring the Role of Notetaking Strategies in Listening-to-Summarize TasksIn refereedOtherInternational coauthorshipMikako Nisikawa;Yukio Horiguchi;Guoxing YuThe 61st JACET International Convention2022/8/24～The Japan Association of College English TeachersOnlineSuccess in higher education, regardless of language, requires the ability to incorporate ideas from independent sources. Recently, there is a growing trend towards assessing the English abilities of learners of English as a second language (L2) to summarize different sources (e.g., texts, graphs, images, and lectures). Past studies have also shown that the academic success of L2 learners depended on listening skills during class hours (Coakley & Wolvin, 1997; Ferris, 1998; Volgely, 1998). Listen-to-summarize tasks are more complex than listening alone because it requires a combination of skills such as speaking or writing. To date, there are few empirical studies related to listen-to-summarize tasks in L2 contexts (Wang & Yu, 2018; Rukthong & Brunfat, 2020). This small empirical study explores the role of notetaking strategies during the listen-to-summarize tasks by comparing participants’ processes of notetaking for both written and spoken summaries using the same test format as the Pearson Test of English Academic (PTE Academic). In a sequential explanatory design, we collected behavioral data from university students (n=10), had notetaking strategy questionnaires, and conducted stimulated-recall interviews after reviewing their eye-tracking recordings. We analyzed these data based on the higher and lower-order cognitive processing of the participants (Rukhong & Brunfat, 2020). We will discuss the extent to which notetaking strategies in listening integrated tasks can predict effective summaries from weak ones based on the preliminary findings of this study.
PapersCounterfactual inference to predict causal knowledge graph for relational transfer learning by assimilating expert knowledge --Relational feature transfer learning algorithmIn refereedAcademic JournalCo-authoredJiarui Li;Yukio Horiguchi;Tetsuo SawaragiAdvanced Engineering InformaticsVolume 512022/1～10.1016/j.aei.2021.101516Transfer learning (TL) is a machine learning (ML) method in which knowledge is transferred from the existing models of related problems to the model for solving the problem at hand. Relational TL enables the ML models to transfer the relationship networks from one domain to another. However, it has two critical issues. One is determining the proper way of extracting and expressing relationships among data features in the source domain such that the relationships can be transferred to the target domain. The other is how to do the transfer procedure. Knowledge graphs (KGs) are knowledge bases that use data and logic to graph-structured information; they are helpful tools for dealing with the first issue. The proposed relational feature transfer learning algorithm (RF-TL) embodies an extended structural equation modelling (SEM) as a method for constructing KGs. Additionally, in fields such as medicine, economics, and law related to people’s lives and property safety and security, the knowledge of domain experts is a gold standard. This paper introduces the causal analysis and counterfactual inference in the TL domain that directs the transfer procedure. Different from traditional feature-based TL algorithms like transfer component analysis (TCA) and CORelation Alignment (CORAL), RF-TL not only considers relations between feature items but also utilizes causality knowledge, enabling it to perform well in practical cases. The algorithm was tested on two different healthcare-related datasets — sleep apnea questionnaire study data and COVID-19 case data on ICU admission — and compared its performance with TCA and CORAL. The experimental results show that RF-TL can generate better transferred models that give more accurate predictions with fewer input features.
Academic presentationSleep Apnea Detection Based on Respiratory Curve Segmentation by Singular Spectrum TransformationUnrefereedOtherCo-authoredYukio Horiguchi;Hiroto Takahashi;Toru Murase;Hiroaki Nakanishi;Tetsuo Sawaragisleep monitoring;abnormality detection;time series analysis;Singular Spectrum TransformationProceedings of the Fuzzy System SymposiumVol. 372021/9/13～2021/9/15Japan Society for Fuzzy Theory and Intelligent InformaticsonlineThis paper proposes a data analysis method for detecting abnormal breathing events during sleep from respiratory curves. The proposed method segments a respiration time series using Singular Spectral Transformations and classifies resulting partial respiratory curves based on their features consisting of autoregressive coefficients and respiratory amplitude ratios. Applying it to a polysomnography dataset confirmed that the proposed method could extract temporal patterns characteristic of respiratory abnormalities such as apnea and hypopnea.
Academic presentationHarmonized Fitness: Health Smart Network with Ensemble of Exercise and MusicUnrefereedOtherInternational coauthorshipIsao Hayasi;Michiyuki Hirokane;Yukio Horiguchi;Masataka Tokumaru;Arash YazdanbakhshProceedings of the Fuzzy System SymposiumVol. 372021/9/13～2021/9/15Japan Society for Fuzzy Theory and Intelligent InformaticsonlineRecently, due to the widespread effects of Covid-19 infection, social communication, such as person-to-person, person-to-society, or social connection, is being diluted. As one solution to the problems, it is expected to create new social communication utilizing advanced technologies such as ICT and AI. On the other hand, the Cabinet Office is advocating a concept of "Super City" that realize new lifestyles and businesses for fundamentally changing the state of society by AI. The authors have established a research unit of "Health Smart Network" at Research Institute for Socionetwork Strategies (RISS), Kansai University as a research base to meet these social demands. Speci cally, the purpose of this research unit is to make health promotion services smarted with "eHealth + AI", create new social communication, and contribute to extending healthy life expectancy and sustaining healthy life. In this presentation, we will outline the concept of the research unit of "Health Smart Network" and introduce various researchs on the theme of smart health promotion for the progress of future research.
PapersIntroduce structural equation modelling to machine learning problems for building an explainable and persuasive modelIn refereedAcademic JournalCo-authoredJiarui Li;Tetsuo Sawaragi;Yukio Horiguchimachine learning;structural equation modeling;explainable AI;causal analysis;healthcareSICE Journal of Control, Measurement, and System IntegrationVolume 14, Issue 22021/5/19～10.1080/18824889.2021.1894040With the development of artificial intelligence technologies, the high accuracy of machine learning methods has become a non-unique standard. People are beginning to be more concerned about the understandability between humans and machines. The interference procedure of the machines is hoped to accord with human thinking as much as possible, which has spawned the recent and ongoing demands for developing explainable models. The present study proposes a new explainable and persuasive model for machine learning problems by introducing Structural Equation Modelling into the picture. Six parts make up the model, from data collection to model evaluation. The model can be used for data analysis, machine learning, and causal analysis. The proposed model is also transparent and can be interpreted from design to application. A practical experiment shows its effectiveness in a healthcare problem.
PapersCluster Size-Constrained Fuzzy C-Means with Density Center SearchingIn refereedAcademic JournalCo-authoredJiarui Li;Yukio Horiguchi;Tetsuo SawaragiFuzzy C-means;clustering;cluster size insensitivityInternational Journal of Fuzzy Logic and Intelligent SystemsVol. 20, No. 4, pp. 346-3572020/12/25～The Korean Institute of Intelligent Systems10.5391/IJFIS.2020.20.4.346Fuzzy C-means (FCM) has a definite limitation when partitioning a dataset into clusters with varying sizes and densities because it ignores the scale difference in different dimensions of input data objects. To alleviate this cluster size insensitivity, we propose a wrapper algorithm for FCM by introducing cluster size as a priori information and limiting the search direction on the basis of density benchmarks (CSCD-FCM). This method is divided into two stages. The first stage adjusts the position of each cluster while maintaining its shape, and the second stage changes the shape of each cluster while maintaining its center. Both steps modify fuzzy partitions generated by FCM-like soft clustering methods by optimizing a “size-constrained” objective function. Numerical and practical experiments with unbalanced cluster size settings demonstrate the effectiveness of this method for extracting actual cluster structures, as well as achieving the desired cluster populations.
Academic presentationA Multi-Modal Topic Model for Extraction of Health Condition Types from Specific Health Guidance DocumentsUnrefereedOtherCo-authoredMasaki Takeda;Yukio Horiguchi;Tatsuyoshi Ikenoue;Yukari Yamada;Shingo Fukuma;Tetsuo Sawaragi;Hiroaki NakanishiProceedings of the 2020 SICE System and Information Division Symposiumpp.654-6592020/11/17～The Society of Instrument and Control Engineers
Academic presentationEvaluating Legibility of Intent-Conveying Handover Motion with Gaussian Process Dynamical ModelUnrefereedOtherCo-authoredSoichiro Ishikawa;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragi;Kenta Fujimoto;Tatsuya Nagatani;Marina KousakaThe Society of Instrument and Control Engineers2020/11/17～The Society of Instrument and Control Engineers
Academic presentationOff-policy Deep Reinforcement Learning with Distribution Matching ImitationUnrefereedOtherCo-authoredRyota Hirobuchi;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo SawaragiProceedings of the 2020 SICE System and Information Division Symposiumpp.423-4282020/11/16～The Society of Instrument and Control Engineers
International academic conferenceData Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning ProblemsIn refereedOtherCo-authoredJarui Li;Yukio Horiguchi;Tetsuo Sawaragimachine learning;dimensionality reduction;Structural Equation ModelingProceedings of the 59th Annual Conference of the Society of Instrument and Control Engineers of Japanpp. 826-8312020/9/25～The Society of Instrument and Control EngineersOnlineStructural Equation Modeling (SEM) is a statistical analysis technique for fitting networks of constructs to data. The strength of extracting latent factors and estimating causal relations among them makes it accessible to analyze the structure of social problems, such as those around the economy, healthcare, and ecology. The present paper introduces SEM to the machine learning field for reducing the number of data dimensions. Too large dimensionality of the input data increases the computational load to build machine learning models. The proposed method utilizes SEM to sift variables and sort out relations between factors. The results show that the proposed method is able to identify the least number of data dimensions for machine learning-based prediction models to achieve the same or even higher accuracy as the prediction models trained with the full dimensions do.
Academic presentationEcological Interface Design for Shared Control of Tandem MillsUnrefereedOtherSingle-AuthorYukio Horiguchiecological interface design;tandem millsCurrent Advances in Materials and Processes: Report of the ISIJ MeetingVol. 33, pp. 438-4412020/9/17～The Iron and Steel Institute of JapanOnline
PapersAn Automated Usability Evaluation Method Based on Structural Compatibility of Information Resource Distribution and Screen Transition Design with User TasksIn refereedAcademic JournalCo-authoredYukinari Deguchi;Yuki Moriya;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragiusability evaluation;distributed cognition;information resources distribution;transition structure;task compatibilityThe Transactions of Human Interface SocietyVol. 22, No. 2, pp. 101-1122020/5/25～Human Interface Society10.11184/his.22.2_125This paper proposes an automated expert review method to estimate the usability of information terminals where users use different operation screens depending on their progress of work. The proposed method evaluates interface designs from two points of view. One is a distributed cognition view looking at the compatibility of information resources distribution and examines whether individual screens provide just enough amount of knowledge and information for the user task. The other concerns the compatibility of transition structure and examines whether screen transitions are consistent with the flows of work to be performed by the user. Two different experiments were conducted to test the proposed method using information terminals whose design differed in their information resources distribution and screen transition structure. The experimental results demonstrate that the proposed method can generate usability scores close to the participant users’ feeling of use when the weight for the two compatibility aspects are adjusted appropriately.
PapersUser Interface Supporting Motion Point Teaching in Off-line Industrial Robot Programming: Development and Evaluation of Orthographic Views and Pointing-based Operation FeaturesIn refereedAcademic JournalCo-authoredSoichiro Ishikawa;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo SawaragiInterface design;task analysis;3D manipulation;industrial robotsThe Transactions of Human Interface SocietyVol. 22, No. 2, pp. 89-1002020/5/25～Human Interface Society10.11184/his.22.2_89The complexity of robot programming is an obstructive factor for the introduction of industrial robots to production sites. Human operators have to teach individual motion segments one-by-one to the robots to t their behavior in the work environment, which is one of the most tedious and time-consuming tasks in robot programming. This study elicites user interface requirements to streamline the motion-point teaching by the hierarchical task analysis of off-line robot programming, and proposes UI functions that can meet these requirements. The proposed UI functions consist of the four-view display feature that generates orthographic views suitable for teaching motion points according to the operator’s selection of the reference plane and the pointing-based robot operation feature. As a result of the verification experiment conducted using a Peg-in-Hole assembly task, the four-view display feature demonstrated its effectiveness in making the motion-point teaching much more efficient.
Academic presentationVisualizing Proficient Tacit Knowledge for Centering Operation of the Steel Plate Leveler Shear LineUnrefereedOtherCo-authoredNaruki Yasue;Tetsuo Sawaragi;Hiroaki Nakanishi;Yukio Horiguchi;Makoto Kawai;Toshiya Yaharaskill analysisProceedings of the 64th Annual Conference of the Institute of Systems, Control and Information Engineerspp. 411-4182020/5/20～2020/5/22The Institute of Systems, Control and Information EngineersOnline
Academic presentationExtraction of Pupil Diameter Variation Patterns with Cognitive Load Using Locality Preserving ProjectionUnrefereedOtherCo-authoredHideki Hotta;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragilocality preserving projection;pupil diameter variation;cognitive loadProceedings of the 64th Annual Conference of the Institute of Systems, Control and Information Engineerspp. 41-462020/5/20～2020/5/22The Institute of Systems, Control and Information EngineersOnlinePupil diameter, which is modulated by the automatic nervous system, has been known as a useful index of the cognitive load while it also responds to changes in other factors like illumination and viewing distance at the same time. Aiming to develop a computational method for estimating the amount of devoted mental effort from pupil variation, we propose to introduce locality preserving projection (LPP) to extract cognitive-load dependent components from pupil diameter time series across different lighting conditions. The proposed method applies the class-distance weighted LPP to decomposed time-frequency representations of pupil diameter signals that are obtained by multiresolution analysis and then singular value decomposition. The experimental results show that the proposed method can find time-frequency components of pupil variation that depend on the cognitive workload level. Reconstructed time series from the extracted components indicated pupil dilations and contractions amplified with increasing the workload of experimental mental-arithmetic tasks.
International academic conferenceEye-tracking Study: Investigating Different Types of Reading During Summary WritingUnrefereedOtherCo-authoredMikako Nishikawa;Yukio Horiguchieye-tracking;cognitive processing;careful reading;expeditious reading;integrated tasksThe 7th British Council New Directions in English Language Assessment Conference2019/12/7～2019/12/9British CouncilYokohama, JapanThis study adds a body of knowledge of Weir & Khala (2008), which investigated two distinctive types of readings such as "careful reading" and "expeditious reading.” Using eye-tracking technology, this study explored the cognitive processing of reading during the TOEFL iBT® Integrated Writing Task in which test-takers are required to interact with source text to summarize the main points from a passage. During the first three minutes allotted for reading a passage, test-takers typically engage in reading comprehension (i.e., careful reading) which is distinctively different from types of reading involved for the summarization task by locating particular information (i.e., expeditious reading). According to Rayner & Pollatsek (1989), Careful reading tells little about skilled readers as compared to expeditious reading (i.e., scanning or search reading). Such finding is also evident in Urquhart & Weir (1998) that expeditious reading can be a better indicator to distinguish between expert and novice readers (i.e., L1 and L2 readers). The initial results from the pilot study (N=20) suggest a language proficiency played a key role in the behavior for careful readings. We will report some eye-movement measures (e.g., the fixation duration) that have also captured these behavioral differences. This study is funded by the JSPS Kakenhi Grant (2018-2020).
International academic conferenceA Wrapper Algorithm for Fuzzy Cluster Membership Modification Based on Size ConstraintsIn refereedOtherCo-authoredJiarui Li;Yukio Horiguchi;Tetsuo Sawaragifuzzy c-means;clustering;cluster size sensitivityProceedings of the 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineeringpp. 122-1302019/12/4～2019/12/7Korean Institute of Intelligent SystemsJeju Island, Republic of Korea
Academic presentationItem Set Information to Evaluate Choice Combinations for Effective Estimation of User's PreferenceUnrefereedOtherCo-authoredKazuki Nagino;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragipreference structure;Fisher information;multinominal logit model;Bayesian inferenceProceedings of the 2019 SICE System and Information Division Symposiumpp. 69-702019/11/25～The Society of Instrument and Control EngineersChiba, Japan
Academic presentationHierarchical Dirichlet Process Hidden Markov Modeling of Plant Operator's Intent behind Observed Area-of-Interest SequencesUnrefereedOtherCo-authoredShuhei Tanaka;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragiintent inference;Hidden Markov Model;eye-gaze movementProceedings of the 2019 SICE System and Information Division Symposiumpp. 85-882019/11/25～The Society of Instrument and Control EngineersChiba, Japan
Academic presentationUnrefereedOtherCo-authoredYoshitomo Uenishi;Hiroaki Nakanishi;Yukio Horiguchi;Tetsuo Sawaragiold-way/new-way methodology;proactive inhibition;skill acquisitionProceedings of the 2019 SICE System and Information Division Symposiumpp. 147-1502019/11/25～The Society of Instrument and Control EngineersChiba, Japan
International academic conferenceEye-Tracking Study on Cognitive Processing of Reading Used for Comprehension and Summarization on TOEFL iBT®In refereedOtherCo-authoredHaruna Kawai;Yukio Horiguchi;Mikako Nishikawaeye-tracking;cognitive processing;careful reading;expeditious reading;integrated tasksProceedings of the 6th Annual International Conference of the Asian Association for Language Assessmentpp. 83-842019/10/16～2019/10/18Asian Association for Language AssessmentHanoi, VietnamThis study explores the cognitive processing of reading during the TOEFL iBT® Integrated Writing Task in which test-takers are required to interact with source text to summarize the main points from a passage. According to Weir & Khalifa (2008), there are two types of readings such as "careful reading" and "expeditious reading." During the first three minutes allotted for reading a passage on the iBT integrated writing task, test-takers typically engage in reading comprehension (i.e., careful reading) which is distinctively different from types of reading involved for the summarization task by locating particular information (i.e., expeditious reading). According to Rayner & Pollatsek (1989), Careful reading tells little about skilled readers as compared to expeditious reading (i.e., scanning or search reading). Such finding is also evident in Urquhart & Weir (1998) that expeditious reading can be a better indicator to distinguish between expert and novice readers (i.e., L1 and L2 readers). Indeed, there is an increasing number of eye-tracking studies that have examined the construct validity of expeditious and careful reading among the L2 readers (e.g., Bax, 2013; Brunfaut & McCray, 2015). These studies have validated earlier findings from L1 eye-tracking studies that increased fixation duration and regressions (backward movements) are indicatives of reading difficulties (e.g., Rayner, 1998). The present study is intended to shed lights on the cognitive processing of reading by monitoring the eye-movements during careful and expeditious reading in more depth. In this work, we present preliminary results derived from our pilot study. We selected four Japanese L2 participants with three different English proficiency levels (B1, B2, and C1) and investigated their eye-movements to find salient features of their reading behavior. We tested the associations between their TOEFL iBT score and eye-tracking variables taken during the careful and expeditious reading. There were more strong proficiency-behavior associations found in the expeditious reading than in the careful reading. The higher scorers exhibited the expeditious reading in their attempts to build up the gist of the text and to summarize the main points they had comprehended while the lower scorers were occupied with the careful reading. Several eye-movement measures capture these behavioral differences including the fixation duration and the eye-gaze trajectory.
International academic conferenceMeasurement of Driver's Mental Workload in Partial Autonomous DrivingIn refereedOtherCo-authoredWeiya Chen;Tetsuo Sawaragi;Yukio Horiguchimental workload;autonomous driving;human-automation interaction;NASA-TLX;response time;secondary taskIFAC-PapersOnLineVol. 52, Issue 19, pp. 347-3522019/9/19～International Federation of Automatic ControlTallinn, EstoniaAutonomous driving has the potential to be the next critical technology that changes the lifestyle of a human. It has, however, not been verified whether the autonomous technology at different lower levels decreases or increases the mental workload of drivers. This paper verifies the relationship between a driver’s mental workload and level 0, 1 and 2 of autonomous driving using NASA-TLX and adjusted response time in a secondary task simulation study. Experiment results show that level 1 causes the lowest mental workload of the driver, followed by level 2 and level 0. We discuss this nonlinear relationship between the levels of autonomous driving support and the mental workloads incurred to the human driver.
Academic presentationBehavior Policy Learning beyond Demonstrations by Shifting from Imitating Others to Self-imitationUnrefereedOtherCo-authoredRyota Hirobuchi;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragireinforcement learning;imitation learningProceedings of the 29th Symposium on Fuzzy, Artificial Intelligence, Neural Networks and Computational IntelligenceA2-12019/9/17～Japan Society for Fuzzy Theory and Intelligent InformaticsToyama, JapanCombining generative adversarial imitation learning with reinforcement learning can encourage learning agents to obtain an appropriate behavior policy even in a sparse reward environment. However, if the given demonstration is imperfect, the imitation learning component may hinder the agent from acquiring the optimal policy. In this paper, we propose a learning method for overcoming this problem by shifting the learning mode from imitation learning to reinforcement learning with self-imitation gradually. The key idea behind the method is to replace the demonstration memory with the agent's past high-performance state-action trajectories after it rises to the demonstrated performance level. The proposed method was tested with a cart-pole swing-up task experiment, showing that it can enable the agent to learn a better policy than that of the demonstrations.
Academic presentationUsability Estimation Based on Structural Compatibilities of Information Resource Distribution and Screen Transition Design with User TaskUnrefereedOtherCo-authoredYukinari Deguchi;Yuki Moriya;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragiusability;user interface;distributed cognition;network alignmentProceedings of Human Interface Symposium 2019pp. 357-3632019/9～Human Interface SocietyKyoto, JapanThis study applied the network alignment method named IsoRank, which calculates the similarity between graph structures by optimization, to usability evaluation of user interfaces that allow users to use different operation screens depending on the progress of work. The proposed method estimates the usability of interface designs from two points of view. One is the compatibility of information resources distribution that examines whether individual screens provide just enough amount of knowledge and information necessary for the user task, and the other is the compatibility of transition structure that examines whether screen transitions are consistent with the flows of work to be performed by the user. The proposed method was tested by the experimental data that had been obtained from the user testing of operation terminals whose design was changed in their information resources distribution and screen transition structure, demonstrating that it can give a usability score close to the participant users’ feeling of use when the weight for the two compatibility aspects are adjusted appropriately.
Academic presentationOrthographic Views and Pointing-based Operation Features to Streamline Motion Point Teaching in Off-line Industrial Robot ProgrammingUnrefereedOtherCo-authoredSoichiro Ishikawa;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragiinterface design;task analysis;user model;industrial robotProceedings of Human Interface Symposium 2019pp. 625-6302019/9～Human Interface SocietyKyoto, JapanThe complexity of robot programming is an obstructive factor for the introduction of industrial robots to production sites. The human operator has to teach individual motion segments one-by-one to the robots to fit their behavior in the work environment, which is one of the most tedious and time-consuming tasks in robot programming. This study elicited user interface requirements to streamline the motion-point teaching by the hierarchical task analysis of off-line robot programming, and proposed UI functions that can meet these requirements. The proposed UI functions consist of the four-view display feature that generates orthographic views suitable for teaching motion points according to the operator's selection of the reference plane and the pointing-based robot operation feature. As a result of the verification experiment conducted using a Peg-in-Hole assembly task, the four-view display feature demonstrated its effectiveness in making the motion-point teaching more efficient.
Academic presentationA Labeled Latent Dirichlet Allocation for Knowledge Extraction from Specific Health Guidance DocumentsUnrefereedOtherCo-authoredMasaki Takeda;Yukio Horiguchi;Tatsuyoshi Ikenoue;Yukari Yamada;Shingo Fukuma;Hiroaki Nakanishi;Tetsuo Sawaragilabeled latent Dirichlet allocation;topic model;specific health guidance;text miningProceedings of the 35th Fuzzy System Symposiumpp. 688-6932019/8/31～Japan Society for Fuzzy Theory and Intelligent InformaticsToyonaka, Osaka, JapanIn Specific Health Guidance, professional instructors provide periodic counseling and guidance to those who must change their lifestyle habits as being expected to have or having metabolic syndrome according to the results of checkups. For obtaining useful knowledge of practical guidance from written reports, this study introduces a labeled latent Dirichlet allocation method to develop a topic model of the Specific Health Guidance domain. Individual records of conducted health guidance have labels attached to indicate what kind of advice the instructor gave to his/her clients. By considering these labels, the proposed model estimates the content and distribution of guidance topics, including unlabeled ones. The estimated topic distribution that represents each guidance record in a numeric vector can provide another means to find correlations between guidance aspects and outcome measures.
Academic presentationExtraction of Respiratory Motion Features from Sleeping Body Pressure Distribution Time Series by Generalized Morphological Component AnalysisUnrefereedOtherInternational coauthorshipHiroto Takahashi;Yukio Horiguchi;Toru Murase;Hiroaki Nakanishi;Tetsuo Sawaragi;Shintaro Chiba;Seiji Nishinofeature extraction;morphological component analysis;blind source separation;sleep monitoring;sleep apnea syndromeProceedings of the 35th Fuzzy System Symposiumpp. 529-5342019/8/30～Japan Society for Fuzzy Theory and Intelligent InformaticsToyonaka, Osaka, JapanFor effectively and efficiently screening potential sleep-disordered patients, it is desired to establish simplified and easy-to-use techniques to measure the sleep state in a sufficient accuracy without elaborate facilities. Pressure sensor mats are a promising candidate but methods to estimate the vital signs of subjects from their sensing data are to be devised. For non-invasive sleep disorders screening, Generalized Morphological Component Analysis (GMCA), which is a kind of blind source separation methods, is applied to estimate the respiratory effort curve and its spatial distribution from time series of sleeping body pressure distribution. This study explores respiratory motion features that are effective for detecting and discriminating respiratory events such as apnea and hypopnea by examining the results of applying GMCA to the measurement data of the pressure sensor mat collected in polysomnography tests.
Academic presentationSimulating Visual Attention of Human Driver in Different Task Engagement Modes by Combination of Moving Object Attractiveness Map and Saliency MapUnrefereedOtherCo-authoredYukio Horiguchi;Tadahiro Takazawa;Hiroaki Nakanishi;Tetsuo Sawaragiattractiveness;saliency map;visual attentionProceedings of the 35th Fuzzy System Symposiumpp. 88-922019/8/29～Japan Society for Fuzzy Theory and Intelligent InformaticsToyonaka, Osaka, JapanMoving object attractiveness map is a computational model that evaluates the possibility that a moving object in the field of view is gazed by the observer, which generates a view image in which each moving object is represented by shading according to the calculated gaze probability. Saliency map is, on the other hand, a computational model of visual attention that applies scientific knowledge of information processing in low-order visual cortexes to image processing, which generates an image that represents the saliency distribution based on low-level image features such as brightness and hue. This paper presents a method that combines outputs of the moving object attractiveness map and the saliency map to estimate the extent to which each area of the view image is likely to attract the visual attention of a human driver. The proposed model demonstrates that it can simulate a driver in different task engagement modes, such as watching out for surrounding moving objects or looking for a particular environmental object, by changing the weight of each of the two maps for linear combination.
PapersMethodological study of safety analysis for dynamic alteration of work procedures by uniting functional resonance analysis and activity theoryIn refereedAcademic JournalCo-authoredKeisuke Fukuda;Tetsuo Sawaragi;Yukio Horiguchiorganizational activity;human-machine systems;safety analysis;activity theory;functional resonanceJournal of Reliability Engineering Association of JapanVol. 41, No. 4, pp. 249-2622019/7～Reliability Engineering Association of JapanThe workers adjust work execution under constant goals, rules, and norms. Whereas, organizational activities are induced to change them by external forces and internal conflicts. However, conventional safety analysis methods did not deal with the interaction between the organization and the work practice. In this study, we propose a safety analysis method by integrating the "Activity Theory" which regards human behavior as mediated by artifacts such as rules and norms of the organization and "Functional Resonance Analysis Method" which traces partial alteration of work procedures and predicts how that propagates over the entire work. We apply our method into an actual railway accident case, and then we show how the alteration of organizational norms and the alteration of work procedures interact with each other leading to the occurrence of accidents. Our proposal is useful in grasping how the work procedure alters when a new tool is delivered into practice, and how the organization acknowledges such alteration.
Academic presentationAutomatic Sleep Staging from Cardio-Respiratory Signals Using Convolutional Recurrent Neural Network with Conditional Random FieldsUnrefereedOtherCo-authoredNaoto Shimakoshi;Yukio Horiguchi;Jiarui Li;Hiroaki Nakanishi;Tetsuo Sawaragisleep staging;convolutional recurrent neural network;conditional random fieldsProceedings of the 63rd Annual Conference of the Institute of Systems, Control and Information Engineerspp. 1278-12812019/5/24～The Institute of Systems, Control and Information EngineersOsaka, JapanIn this study, we developed an automatic sleep staging model that predicts the sleep stage of each sleep epoch from a time series of cardio-respiratory signals. The model has a Neural-CRF structure that incorporates conditional random fields (CRF) into convolutional recurrent neural networks (C-RNN). Given the sleep-stage score vector the C-RNN module output for each epoch, the CRF module generates a probable temporal sequence of sleep stages by considering the learned stage transition structure. The developed model was tested with the SHHS2 polysomnography dataset, successfully demonstrating a good performance of sleep staging (κ = 0.594±0.122, ACC = 0.749±0.079).
Academic presentationDynamic inversion attitude controller for unmanned helicopterUnrefereedOtherCo-authoredHidaka Asai;Hiroaki Nakanishi;Yukio Horiguchi;Tetsuo Sawaragiunmanned helicopter;dynamic inversion;attitude controller;stabilizer;flap angleD2-42019/1/21～The Society of Instrument and Control Engineers, Kansai Chapter & The Institute of Systems, Control and Information EngineersOsaka, JapanRemote control of the unmanned helicopter becomes much easy due to the the stabilizer, but instead, the attitude motions of the unmanend helicopter becomes slow. Therefore, performance of attitude control of unmanned helicopter is not enough. In order to improve it, two methods including flap angle control by dynamic inversion method were analyzed in this paper. The stabilizer flap angle is ignored in the first method. The time scale separation between the rotor blade and stabilizer blade flapping was assumed in the second method. It was found that the second method was suitable for design the attitude controller for the unmmaned helicopter.
International academic conferenceRefining Fuzzy c-Means Membership Functions to Assimilate A Priori Knowledge of Cluster SizesIn refereedOtherCo-authoredJiarui Li;Yukio Horiguchi;Tetsuo Sawaragifuzzy c-means;clustering;cluster size sensitivityProceedings of 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systemspp. 654-6592018/12/6～Japan Society for Fuzzy Theory and Intelligent InformaticsToyama, JapanBecause Fuzzy C-Means (FCM) uses a sum-of-squared-errors objective function, it tends to equalize cluster populations, causing drifts of centers of smaller clusters to larger adjacent clusters. As a priori knowledge for clustering, the proportions of individual cluster sizes could well be available depending on application domains, on the other hand. The present paper proposes a method that can assimilate this information into the cluster structure by refining membership functions obtained by FCM. The proposed method, limited to one-dimensional fuzzy sets, modifies the position and shape of each cluster by the two-stage adjustment of its membership curve points towards the given proportions of cluster sizes. A numerical experiment was conducted to confirm the effectiveness of the proposed method, demonstrating that assimilating a priori knowledge of cluster sizes can contribute much to the accurate extraction of the original data structure.
Academic presentationUnrefereedOtherCo-authoredTadahiro Takazawa;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragivisual attention;attractiveness;moving objectProceedings of the 2018 SICE System and Information Division SymposiumSS03-102018/11/25～The Society of Instrument and Control EngineersToyama, Japan
Academic presentationUnrefereedOtherCo-authoredKazuki Nagino;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragipreference structure;route search;Bayes inference;multinomial logit modelProceedings of the 2018 SICE System and Information Division SymposiumSS03-032018/11/25～The Society of Instrument and Control EngineersToyama, Japan
Academic presentationAnalysis of Latent Structures in Area-of-Interest Sequences to Extract Plant Operation SkillsUnrefereedOtherCo-authoredYukio Horiguchi;Akira Nishio;Takayuki Sudo;Tetsuo Sawaragivisual attention;latent Dirichlet allocation;skill analysisCurrent Advances in Materials and Processes: Report of the ISIJ MeetingVol. 31, pp. 444-4472018/9/20～The Iron and Steel Institute of JapanSendai, Miyagi, Japan
Academic presentationEffects of Sound Modulation to Make Data Sonification Tolerant to Masking NoiseUnrefereedOtherCo-authoredTomohiro Mizuhashi;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragisonification;frequency modulation synthesis;amplitude modulation synthesis;auditory displayProceedings of Human Interface Symposium 2018pp. 176-1812018/9/6～Human Interface SocietyTsukuba, Ibaraki, JapanIn the present paper, we investigate the masking resistance of modulated sounds to clarify principles for designing data sonification that is tolerant to environmental noises. Modulating a tone can make the acoustic spectrum spread within the bandwidth of a human auditory filter, enforcing the masking resistance of the tone because of the auditory energy added by the modulation. Two sets of experiments were conducted to examine this effect of the sound modulation using a one-dimensional maximum search task under low signal-noise ratio conditions. As a result, Frequency Modulation (FM) synthesis was found more effective than pure tone and Amplitude Modulation synthesis. The study also confirmed that it is better to choose the modulation index for FM so that the bandwidth of the signaling tone is equal to or larger than the critical bandwidth.
Academic presentationStudy on Sonification Method for Parallel Processing of Visual Information in Multi-task ConditionUnrefereedOtherCo-authoredKeita Teshima;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragisonification;multitasking;auditory display;visual display;processing resourcesProceedings of Human Interface Symposium 2018pp. 182-1872018/9/6～Human Interface SocietyTsukuba, Ibaraki, JapanSonification is a type of auditory display techniques to perceptualize information using non-speech audio. This paper investigates the effective use of sonification in multi-task conditions, thereby to mitigate cognitive resource requirements for processing visualized task information. Experimental studies were conducted to see the effects of introducing different forms of sonification to various combinations of tracking and search tasks, comparing their efficiency with each other as well as with a visual display. The result of the studies shows the compatibility of the pitch-based sonification with the search task, suggesting that the encoding process demand to execute search tasks can be reduced much by this type of sonification.
Academic presentationEstimation of Sleeping Heart Rate from Body Pressure Distribution Time Series by Generalized Morphological Component AnalysisUnrefereedOtherCo-authoredHiroto Takahashi;Yukio Horiguchi;Tetsuo Sawaragi;Hiroaki Nakanishi;Toru Murase;Seiji Nishinofeature extraction;morphological component analysis;blind source separation;sleep monitoring;respiratory motionProceedings of the 34th Fuzzy System Symposiumpp. 429-4342018/9/4～Japan Society for Fuzzy Theory and Intelligent InformaticsNagoya, Aichi, JapanFor effectively and efficiently screening potential sleep-disordered patients, it is desired to establish simplified and easy-to-use techniques to measure the sleep state in a sufficient accuracy without elaborate facilities. Pressure sensor mats are a promising candidate but methods to estimate the vital signs of subjects from their sensing data are to be devised. The present paper focuses on the estimation of the heart rate from the high-dimensional time series of sleeping body pressure and proposes to apply a blind source separation technique named Generalized Morphological Component Analysis (GMCA) to the problem. We tested GMCA by data sets with two different sleeping positions of prone and supine, demonstrating that the latter is much harder to separate the heartbeat signal from the body pressure distribution time series. A detailed discussion is made on how to improve the estimation accuracy for the supine position.
Academic presentationSaliency Map Incorporating Attractiveness of Moving Object to Estimate Human Driver's Potential Gaze AreaUnrefereedOtherCo-authoredYukio Horiguchi;Akihiro Hirashima;Tetsuo Sawaragi;Hiroaki Nakanishivisual attention;attractiveness;moving objectProceedings of the 34th Fuzzy System Symposiumpp. 265-2672018/9/3～Japan Society for Fuzzy Theory and Intelligent InformaticsNagoya, Aichi, JapanThe present paper proposes a computational model of the human drivers' vision named "moving object attractiveness map", aiming at image processing technique to analyze unsafe traffic conditions that may provoke their inappropriate allocation of visual attention. Saliency map is a computational model of image processing to simulate human visual attention after scientific findings of bottom-up information processing at the low-level visual cortex, which extracts distributions of salience features from a given image and combines them to estimate which areas in the image can attract the observer's visual attention more. The proposed model adds a top-down attention filter to the saliency map that predicts the likelihood of visual objects to attract the observer's attention for possible collisions.
Academic presentationUnsupervised Sentiment Analysis to Extract Topics and Their Semantic Orientations from Natural Language TextUnrefereedOtherCo-authoredYukio Horiguchi;Takayuki Sudo;Tetsuo Sawaragi;Hiroaki Nakanishitopic model;sentiment analysis;semantic orientationsProceedings of the 34th Fuzzy System Symposiumpp. 217-2212018/9/3～Japan Society for Fuzzy Theory and Intelligent InformaticsNagoya, Aichi, JapanSentiment analysis is a technique that analyzes and extracts the evaluation information for products and services from text data. In the present paper, we propose variations of unsupervised sentiment analysis models that can estimate semantic orientations of comments (whether they are either positive or negative) together with their topics by processing text data without any ratings. The proposed models extend a standard topic model by introducing dictionaries of emotional words so that it can analyze in what point of view people are evaluating subjects positively or negatively.
International academic conferenceNumerical Safety Analysis of Complex Supply-Chain Systems Integrating Functional Resonance Analysis Method and Cellular AutomatonIn refereedOtherCo-authoredTakayuki Hirose;Tetsuo Sawaragi;Yukio Horiguchifunctional resonance analysis;supply chainThe 12th FRAMily meeting/workshop2018/6/13～Cardiff, Wales, UK
International academic conferenceDouble-Looped Safety Analysis for Organizational Accidents Combining Activity Theory and Functional Resonance Analysis Methods and its Application to Railway IncidentsIn refereedOtherCo-authoredKeisuke Fukuda;Tetsuo Sawaragi;Yukio Horiguchiorganizational activity;human-machine systems;safety analysis;activity theory;functional resonanceProceedings of 3rd International Workshop on Functional Modelling for Design and Operation of Engineering Systemspp. 26-292018/5/24～2018/5/25Kurashiki, Okayama, JapanMechanical devices that can extend the range of activities conducted by human workers have been introduced to industrial workplaces. Work procedures using these devices are conducted with certain objectives and rules, or "norms." However, there could be a change in "norms" themselves due to events and decision-making occurring during organizational activities. Changes in "norms" do not necessarily proceed logically because differences in stakeholders' experiences and norm conflicts are inevitable. In this study, we at first focus on the activity theory in which human behavior is assumed to be a collective activity system mediated by artifacts such as tools and standards, and on a partial change process in work procedures, which might be propagated and superimpose throughout work activities. We also introduce the method of functional resonance analysis (FRAM) for investigating how work procedures change according to unexpected variabilities in work qualities and environmental fluctuations caused by the evolution of organizational norms. Based on these ideas, we propose a novel method of descriptive safety analysis by combining the two different dynamics in the evolution of work procedures– macroscopic organization norms and microscopic workprocedures.
International academic conferenceNumerical Simulation of Complex Supply-Chain Systems with an Extended Model of Functional Resonance Analysis MethodIn refereedOtherCo-authoredTakayuki Hirose;Tetsuo Sawaragi;Yukio Horiguchifunctional resonance analysis;supply chainProceedings of 3rd International Workshop on Functional Modelling for Design and Operation of Engineering Systemspp. 39-422018/5/24～2018/5/25Kurashiki, Okayama, JapanSupply chains work with involving many factors: human factors; technical factors; working environment; and organization factors, which makes predictions of behavior of those systems. To know their characteristics, we extend FRAM: Functional Resonance Analysis Method based on an idea of fuzzy reasoning and cellular automaton. We then carry out a case study with the proposed method to analyze the operation of a steel production line; we simulate how variabilities existing locally in the system propagate to the rest and influence its global behavior.
Academic presentationNumerical Analysis of Production Supply Chains Affected by Variabilities with Functional Resonance Analysis MethodUnrefereedOtherCo-authoredTakayuki Hirose;Kazuki Iwami;Tetsuo Sawaragi;Yukio Horiguchifunctional resonance analysis;supply chainProceedings of the 62nd Annual Conference of the Institute of Systems, Control and Information Engineers322-22018/5/16～The Institute of Systems, Control and Information EngineersKyoto, JapanSupply chains work with involving various factors, making it difficult to expect their dynamic behaviors. To make it clear, it is important to consider the systems from a systemic perspective; interactions of each components of those systems play important roles in their functioning rather than focusing on each of their characteristics. In this paper, we will present an extend model of FRAM: Functional Resonance Analysis Method, which is a practical way to analyze systems from the systemic perspective, based on an idea of cell automaton. Then, a case study with the proposed method to analyze behaviors of a steel production line will be carried out. In this analysis, we simulate how variabilities existing locally in the system propagate to the rest and influence a global behavior of it. In the end, we will discuss how such simulation will be utilized to design complex Socio-Technical Systems such as supply chains, airliners, and nuclear power plants.
BookArtifact DesignUnrefereedMonographCo-authoredTetsuo Sawaragi;Atsushi Matsubara;Hiroshi Kawakami;Yukio Horiguchidesign;human-machine systems;interactionKyoritsu Shuppan Co., Ltd.2018/4～978-4-320-00602-7
Academic presentationAnalysis of Industrial Robot Programming Environments Based on Distributed Information Resources Perspective and Software Design Process ModelUnrefereedOtherCo-authoredYuuki Moriya;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragi;Hideto Iwamotoindustrial robot;robot programming;distributed cognition;interface designProceedings of the 18th SICE System Integration Division Symposiumpp. 1845-18482017/12/21～The Society of Instrument and Control EngineersSendai, Miyagi, JapanFor the purpose to discuss design requirements for a new industrial robot programming environment, the present paper investigates two different, existing robot programming systems in terms of two cognitive perspectives: how effectively they support the human operator's decision-making by supplying externalized information resources for each phase in the robot programming, and how effectively they support the operator's transitions from one programming activity to another. The analyses can indicate what information resources are to be externalized for reducing the operator's knowledge and cognitve demand as well as what activity transitions are to be simplified for fostering the progression of designing robot programs.
Academic presentationUnrefereedOtherCo-authoredTadahiro Takazawa;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragiautonomous driving;human-automation interactionProceedings of the 2017 SICE System and Information Division Symposiumpp. 559-5622017/11/27～The Society of Instrument and Control EngineersHamamatsu, Shizuoka, Japan
Academic presentationUnrefereedOtherInternational coauthorshipYoshiki Hirai;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragi;Toru Murase;Seiji Nishinosleep monitoring;frequency analysisProceedings of the 2017 SICE System and Information Division Symposiumpp. 588-5902017/11/27～The Society of Instrument and Control EngineersHamamatsu, Shizuoka, Japan
Academic presentationUnrefereedOtherCo-authoredHiroaki Nakanishi;Hitoshi Saigo;Yukio Horiguchi;Tetsuo Sawaragiskill analysisProceedings of the 2017 SICE System and Information Division Symposiumpp. 597-6022017/11/27～The Society of Instrument and Control EngineersHamamatsu, Shizuoka, Japan
Academic presentationUnrefereedOtherCo-authoredYukio Horiguchi;Kazuki Nitta;Tetsuo Sawaragi;Hiroaki NakanishisonificationProceedings of the 2017 SICE System and Information Division Symposiumpp. 167-1692017/11/26～The Society of Instrument and Control EngineersHamamatsu, Shizuoka, Japan
Academic presentationUnrefereedOtherCo-authoredTakayuki Sudo;Yukio Horiguchi;Tetsuo Sawaragi;Hiroaki Nakanishitopic model;sentiment analysisProceedings of the 2017 SICE System and Information Division Symposiumpp. 69-732017/11/25～The Society of Instrument and Control EngineersHamamatsu, Shizuoka, Japan
Academic presentationUnrefereedOtherCo-authoredTomohiro Okamoto;Tetsuo Sawaragi;Yukio Horiguchi;Yuuki Nagamitraffic safety;hazard perception2017/11/9～2017/11/10Japan Association of Forensic Science and TechnologyTokyo, Japan
International academic conferenceMonitoring of respiratory cycles utilizing sensors on sleeping matIn refereedOtherInternational coauthorshipDouglas E. Dow;Yukio Horiguchi;Yoshiki Hirai;Isao Hayashisleep monitoring;respiratory motionProceedings of ASME 2017 International Mechanical Engineering Congress and ExpositionIMECE2017-72240, V003T04A0112017/11/3～2017/11/9American Society of Mechanical EngineersTampa, Florida, USA10.1115/IMECE2017-72240Sleep apnea and other sleeping disorders impair health and quality of life. Polysomnography is the primary method for diagnosis, but involves cost and utilization of medical resources, which limit access for potential patients. The clinical environment and sensors of polysomnography hinder typical sleep patterns in many individuals, thus degrading the analysis. Sensors suitable for at-home monitoring of sleep have recently become available. At-home monitoring of sleep may improve diagnosis due to increased familiarity for sleeping and ability for multiple sleep sessions, as well as lowering the cost. However, more robust algorithms would be needed to partially compensate for the less controlled conditions and sensor systems. A mat with a grid of force sensors has become available. This study was developing a state machine algorithm to analyze the activity at multiple force sensors of a mat while the subject was lying in supine position on the mat and undertaking natural, rhythmic respiration. The algorithm monitored the subset of active sensors to detect potential respiratory cycles. The similarity of the timing of the detected cycles between different sensors was used to determine the overall pattern of respiratory activity for the subject. Reliable detection of timing for respiratory cycles would be useful for detection of sleep apnea events.
PapersSafety Analysis for Resilient Complex Socio-Technical Systems with an Extended Functional Resonance Analysis MethodIn refereedAcademic JournalCo-authoredTakayuki Hirose;Tetsuo Sawaragi;Yukio Horiguchi;Hiroaki Nakanishifunctional resonance analysis;resilience engineering;complex adaptive systemInternational Journal of Astronautics and Aeronautical EngineeringVolume 2, Issue 22017/10/28～VIBGYOR ePress10.35840/2631-5009/7512The safety of complex Socio-Technical Systems highly depends on the non-linear interaction of variabilities between task performances in human, machines and working environments and proper management of those is essential to ensure the safety. However, the practical means to ensure the safety of those systems have not been established yet, and this is mainly due to the gap existing between the theory and the reality as well as to the lack of means for visualizing the potential risks. In this paper, we propose an extended method of FRAM: Functional Resonance Analysis Method and construct a simulator that enables to visualize the potential risks. Then, an example of interactive analysis using the simulator is presented, which enables us to visualize the degrees of resilience of an existing work procedure in operation in facing with potential variabilities. In the end, how to utilize the proposed method for the establishment of the resilient systems from the point of view of the design of operation procedures is presented.
Academic presentationAutomatic sleep staging based on heart rate variability using recurrent neural networkUnrefereedOtherCo-authoredNaoto Shimakoshi;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragisleep staging;recurrent neural network;Long Short-Term MemoryProceedings of the 33rd Fuzzy System Symposiumpp. 349-3542017/9/14～Japan Society for Fuzzy Theory and Intelligent InformaticsYonezawa, Yamagata, JapanSleep stage pattern provides important clues in evaluating sleep quality. This study is performed to develop a classifier that estimates sleep stage from heart rate variability. The classifier is based on Long Short-Term Memory (LSTM) which is a kind of Recurrent Neural Network, and classifies sleep stages into wake, Non-REM sleep, and REM sleep from 13 features derived from heart rate variability. As a result of the performance evaluation of the classifier, it was confirmed that the recursive connections of LSTM successfully grasps the context-dependency of sleep stages, and especially improves the classification accuracy of REM sleep.
Academic presentationExtraction of Driver's Regions of Interest Using Saliency Map with Optical Flow FeaturesUnrefereedOtherCo-authoredAkihiro Hirashima;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragivisual attention;saliency map;automobile drivingProceedings of the 33rd Fuzzy System Symposiumpp. 553-5582017/9/14～Japan Society for Fuzzy Theory and Intelligent InformaticsYonezawa, Yamagata, JapanHuman drivers get most of the information about their world through vision. Therefore if we are able to specify regions to likely attract their attention, it will lead to advanced driver assistance systems, such as by detecting situations where their visual attention may get highly distracted. Saliency map is a computational model that can extract visually conspicuous points or regions based on low-level image features. In this study, we examined how well saliency maps generated from in-vehicle camera images correspond with regions of interest human observers have paid their visual attention to. As a result, we found that incorporating optical ow features in saliency maps can improve the model's performance while it still has some disagreement with actual visual behavior.
Academic presentationEstimation of Respiratory and Heart Rates Based on Frequency Analysis of Body Pressure Distribution During SleepUnrefereedOtherInternational coauthorshipYoshiki Hirai;Yukio Horiguchi;Hiroaki Nakanishi;Tetsuo Sawaragi;Toru Murase;Seiji Nishinosleep monitoring;frequency analysisProceedings of the 33rd Fuzzy System Symposiumpp. 181-1842017/9/13～Japan Society for Fuzzy Theory and Intelligent InformaticsYonezawa, Yamagata, JapanSleeping mat that can measure vital signs of a person sleeping on it is one of promising alternatives to PSG (Polysomnography) for simplified sleep assessment. In this paper, we investigate computational methods to predict the respiratory and heart rates of sleeping subjects from measurements by the pressure sensor array embedded in a sleeping mat. Two computational methods were compared by experiment. Whilst both methods utilize frequency domain analysis to extract those components of body movements that are induced by breathing and heartbeat, they are different in the way to choose sensor nodes to take into account for computation. As a result, it was found that the respiratory rate can be predicted in a higher accuracy by using the sensor node with the largest pressure value for each instant of time and that the heart rate prediction accuracy is not affected by the way to choose nodes.
Academic presentationUnrefereedOtherSingle-AuthorYukio Horiguchihuman-machine systems;ecological interface design;cognitive work analysis2017/8/31～Tokyo, Japan
International academic conferenceUser Simulation to Inspect Menu Hierarchical Design Using Information Scent ModelIn refereedOtherCo-authoredYukio Horiguchi;Naoki Kojima;Tetsuo Sawaragi;Hiroaki Nakanishiinformation scent;menu interface;user simulation;usability inspectionProceedings of Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent SystemsPaper ID: 2662017/6/30～International Fuzzy Systems AssociationOtsu, JapanInformation scent represents the semantic relevance of labeled options to destinations of navigation tasks and has a potential as a computational basis to simulate human users’ navigation decisions to search for items in a menu hierarchy. In the present paper, we propose a method to inspect the usability of menu hierarchies by using the information scent model. The method applies a software agent that makes scent-based decisions for simulating menu item selection by unlearned users. Every function that can be launched from the menus are thoroughly explored by the agent to identify ill-designed part of the menu hierarchy that makes it difficult for users to accomplish particular tasks.
Academic presentationWall Effect on Aerodynamic Characteristics of RotorUnrefereedOtherInternational coauthorshipHiroyuki Harada;Hiroaki Nakanishi;Yukio Horiguchi;Tetsuo Sawaragiwall effect;aerodynamics;rotorcraftProceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers355-32017/5/25～The Institute of Systems, Control and Information EngineersKyoto, JapanIn recent years, small-scale rotorcrafts are widely used for various purpose. In particular, inspections of infrastructures such as bridges or tunnels by aerial vehicles are highly demanded. During inspection activities, aerial vehicles must approach their walls. In such situation, walls affect on the airflow around the rotor and also aerodynamic characteristics of the rotor. We conducted experiments to measure thrust, rotational speed, and required power of the rotor near a vertical side wall or a ceiling wall. It was found that the thrust and the rotational speed of the rotor do not change when it approaches to the vertical side wall. On the contrary, we found that thrust and rotational speed of the rotor increases and the required power decreases as the rotor approaches the ceiling wall. The results suggests that the vertical side wall effect is considerably small but the ceiling wall effect is large. The ceiling wall effect may be utilized to extend the flight time for inspection without equipping large batteries.
Academic presentationAnalysis of Feasibility of Procedure Based on Fuzzy Reasoning for Functional Resonance Analysis MethodUnrefereedOtherInternational coauthorshipTakayuki Hirose;Tetsuo Sawaragi;Yukio Horiguchi;Tetsuo Sawaragifunctional resonance analysis;fuzzy reasoningProceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers223-12017/5/24～The Institute of Systems, Control and Information EngineersKyoto, JapanDevelopment of technologies (e.g. automation) makes the mechanical systems complex, building Socio-Technical Systems. For the safety of those systems, feasibility of procedures against a specific context plays an important role. E. Hollnagel proposed FRAM: Functional Resonance Analysis Method for this issue. In this paper, we show a practical methodology of FRAM which we proposed before: Fuzzy reasoning is applied to FRAM in this methodology, and we built a simulator of FRAM by implementing it. Also, we investigate how the methodology contributes to the safety of Socio-Technical systems.
Academic presentationInvestigation on Differences between Human and Automation Perceptions in Collaborative tasks towards Establishing their Joint AttentionUnrefereedOtherInternational coauthorshipCamille Milliat;Tetsuo Sawaragi;Yukio Horiguchihuman-machine systems;joint attentionProceedings of the 61st Annual Conference of the Institute of Systems, Control and Information Engineers132-52017/5/23～The Institute of Systems, Control and Information EngineersKyoto, JapanThe automation of route navigation led to the implementation of in-car navigation systems, widely used nowadays. However, their interactions with the drivers still cause some confusion, thus damaging road safety. In this paper, we first propose a categorization of the interaction issues found in the literature into two categories: “context awareness issues” and “expression issues”. We then focus on “context awareness issues” and propose that they are mainly due to a difference of perception means between the automated systems and the human drivers. Finally, we suggest that joint attention between these two agents can improve the shared amount of context information and give research directions to test this hypothesis.
PapersAutonomous Error Recovery of Industrial Robots Using Hierarchical Planning SystemIn refereedAcademic JournalCo-authoredSatoru Matsuoka;Tetsuo Sawaragi;Yukio Horiguchi;Hiroaki Nakanishiindustrial robot;planning;error recoveryTransactions of the Society of Instrument and Control EngineersVol. 53, No. 1, p. 80-892017/1～The Society of Instrument and Control Engineers10.9746/sicetr.53.80In recent automated production lines, it is important for industrial robots to recover from unexpected errors autonomously without intervention by human operators. In this paper, a hierarchical planning system that realizes autonomous error recovery of robots is proposed and demonstrated, and its effectiveness in cooperative work is verified. In order to realize a variety of flexible error recovery functions, a partial order planning scheme as well as a re-planning capability utilizing semantic information on the production environment are proposed.
Community Activities
- A Member of the 17th Board of Directors, Japan Society for Fuzzy Theory and Intelligent Informatics
- A Member of the 14th Board of Directors, Japan Society for Fuzzy Theory and Intelligent Informatics 2015/6/21～2017/6/3
- An Auditor of the 15th Board of Directors, Japan Society for Fuzzy Theory and Intelligent Informatics 2017/6/3～2019/6/16
- Editorial Board Member of Transactions of The Society of Instrument and Control Engineers 2017/1～2020/1
- A Member of the 15th Board of Councilors, Japan Society for Fuzzy Theory and Intelligent Informatics 2017/6/3～2019/6/16
- A Member of the 16th Board of Councilors, Japan Society for Fuzzy Theory and Intelligent Informatics 2019/6/16～2021/6/19
- Editorial Board Member of Transactions of The Institute of Systems, Control and Information Engineers 2015/5～2017/5
Research Activities Overseas
- OtherDevelopment of Cognitive Work Analysis Techniques for Human-Machine Systems Design Oct. 1,2010-Sep. 27,2011Canada The University of Waterloo
Participation in International Conferences
- 20th International Symposium on Advanced Intelligent Systems and 2019 International Conference on Biometrics and Kansei Engineering Dec.4,2019-Dec. 7,2019
- The 6th Annual International Conference of the Asian Association for Language Assessment Oct.16,2019-Oct. 18,2019
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