Table of Contents

Age of Subjective Engineering.- Human-Product Communication.- Best Fit Product.- Human Centered Industry.- Kansei information processes in early design: design cognition and computation.- Soft Entrainment: Co-emergence of “Maai” and Entrainment by Rhythm Controller.- Emotion Recognition using Short Time Speech Analysis.- A psychophysiological approach towards understanding emotions.

About the Author

Prof. Shuichi Fukuda is Adviser to System Design and Management Institute, Keio University. After receiving Dr. Eng from University of Tokyo in 1972 and working at University of Tokyo, Osaka University and again University of Tokyo, Prof. Fukuda joined Tokyo Metropolitan Institute of Technology (TMIT) as professor in systems engineering. He served department chair, adviser to the university president, dean of engineering, dean of library and information systems and director of center for university-industry-government collaboration. During these years, he worked as visiting professor at Stanford University, West Virginia University and Osaka University. Since his retirement from TMIT in 2007, he has been working as Consulting Professor at Stanford University, Visiting Professor at Open University of Japan and Cranfield University, UK and a member of Science Council of Japan.

Prof. Fukuda is past President of ISPE (International Society for Productivity Enhancement), Vice President of the Reliability Society, IEEE and past Chair of Computers and Information in Engineering Division, ASME. He is now Deputy Technical Group Leader, Member-at-Large in charge of Division Operations and Training, Systems and Design Group Operating Board, ASME. His research Interests are systems engineering, design engineering, emotional engineering, collaboration engineering, reliability engineering and management of engineering and technology. He is member of Engineering Academy of Japan, Honorary Member of JSME and Fellow of ASME, IEICE (Institute of Electronics and Communication Engineers) and ISPE (International Society for Productivity Enhancement).