Researcher Database

（Last updated : 2021-03-31 20:04:15）

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KAMEI Katsuari

Department / Course College of Information Science and Engineering Department of Information Science and Engineering

Title / Position Professor

Other Affiliations
1.	Graduate School of Information Science and Engineering

Academic background
1.	1983/03 Degree Acquisition	│ Ritsumeikan University Doctor of Engineering
2.	～1978	Department of Electrical Engineering │ Faculty of Science and Engineering │ Ritsumeikan University
3.	～1983	Doctorial Course │ Electrical Engineering Major │ Graduate School, Division of Science and Engineering │ Ritsumeikan University │ Completed

Research activities
1.		The Institute of Systems, Control and Information Engineers
2.		Japan Society of Kansei Engineering
3.		Japan Society for Fuzzy Theory and Intelligent Informatics
4.		Human Interface Society

Subject of research
1.	Human Interfase
2.	Intelligent Systems
3.	KANSEI and Emotion Evaluation and Its Modeling
4.	Soft Computing

Research summary
Intelligence systems Based on the fuzzy theory, links are made to neural networks and heuristics, to study the behavior and sensitivity of humans, as well as the control of the skilled person.

Present specialized field
Intelligent Informatics (Keyword：Intelligent System, Soft Computing, Kansei, Emotion)

Books
1.	2010/03	Fundamentals of Electronic Circuits for Students │ (Sole-authored)

Papers
1.	2016	Student Assessment Based on Affective Factors in English Learning Using Fuzzy Inference │ International Journal of Affective Engineering │ 15 (2),pp.101-108 (Co-authored)
2.	2015	Fuzzy Inference System based on a Model of Affective-Cognitive Criteria for English Learning Achievement │ Information Engineering Express International Institute of Applied Informatics │ 1 (3),pp.39-48 (Co-authored)
3.	2014	Applications Using Hybrid Intelligent Decision Support Systems For Selection Of Alternatives Under Uncertainty And Risk │ International Journal of Innovative Computing, Information and Control │ 10 (1),pp.39-56 (Co-authored)
4.	2014	Hybrid Kansei-SOM Model using Risk Management and Company Assessment for Stock Trading │ Information Sciences │ 256,pp.8-24 (Co-authored)
5.	2014	Near-Infrared Spectroscopy (NIRS) Analysis of Emotion when Reading e-Books with Sound Effects │ Industrial Applications of Affective Engineering (Ed. by J. Watada et al.) , Springer │ ,pp.123-132 (Co-authored)
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Academic conference presentation
1.	2014/08	Evaluation of an Online Non‐Task‐Oriented Dialogue System Based on Objective Personality Ratings (Proceedings of 50th Anniversary Conference of the American Society for Cybernetics)
2.	2014	Design of a Facial Expression Warning System for Online Video Service Representatives (Proceedings of IJCCN 2014 (The 2014 International Joint Conference on Neural Networks))
3.	2014	Modeling Emotional State Through Interaction with Applications on an Android Smartphone (Proceedings of IEEE/WCCI 2014 (The IEEE World Congress on Computational Intelligence))
4.	2014	Modeling Student Affect in English Learning Achievement Using Association Rules (Proceedings of ACSET (The Asian Conference on Society, Education & Technology) 2014)
5.	2013/03/07	An Analysis of Reading Emotion of e-Books with Sound Effects by Near-Infrared Spectroscopy (NIRS) (1st International Symposium on Affective Engineering 2013 (ISAE 2013))
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Winning science prize
1.	2009	IEEE SMC Hiroshima Chapter Best Presentation Award of 5th International Workshop on Computational Intelligence & Applications 2009 (IWCIA2009)
2.	2007	Excellent Paper Award" of International Conference on Kansei Engineering and Emotion Research 2007

Message
1.	Flexible and Sensibility-Rich Intelligent Systems We are researching and developing decision support systems, expert intelligence and skill acquisition systems, evaluation and modeling systems for human sensibilities and emotions, and human interface and usabilities using the soft computing technologies such as fuzzy logic theory, neural networks, evolutionary computing and Kansei (Japanese term having almost same meaning as sensibility) engineering. The keywords of our researches are “sensibility-rich” and “human-like.” We are developing the above intelligent systems from the viewpoint of daily life standard rather than the engineering standard. Therefore, our systems are allowed to be neither precise nor the optimal if the output is satisfied, enjoyable or useful for users. Research Example: Emotional Fitness Project Physical fitness (PF) is exercise intended to maintain physical health such as reducing weight and increasing physical strength. Unfortunately it ignores sensibilities such as fun and joy and focuses on only the exercise strength and calorie consumption. So everybody feels that the exercise is hard and tough, not fun. Consequently, the exercise is not continued. In our lab, we propose the emotional fitness (EF), which is exercise intended to maintain the emotional and sensibility health through the alleviation of stress and the good post-exercise feeling. According to our research results, the exercise strength of EF is lower than that of PF and there exists the personal optimal exercise strength for EF. Now, we are verifying scientifically the validities of EF through the indoor and outdoor jogging experiments.