Profile
Tetsuo Sawaragi is a professor in the Dept. of Mechanical Engineering and Science at Kyoto University's Graduate School of Engineering. He received his B.S., M.S. and Ph.D. degrees in Systems Engineering from Kyoto University in 1981, 1983 and 1988, respectively. From 1991 to 1992, he was a visiting scholar in the Dept. of Engineering-Economic Systems of Stanford University. In addition to his professorship, he has been engaged in a position of Vice-Dean, Graduate School of Engineering, Kyoto University from 2017 to 2019 and a member of Science Council of Japan (SCJ) from 2017. He is currently Vice-Chair of TC 4.5 on Human-Machine Systems (2011~) of IFAC (International Federation of Automatic Control) and President of SICE (The Society of Instrument and Control Engineers, Japan).
In the past, he was in charge of President of Human Interface Society, Japan, President of ISCIE (The Institute of Systems, Control and Information Engineers, Japan) and a member of the Central Education Council (CYUKYOSHIN) of MEXT from 2011 to 2013. He is now a program coordinator for Leading Graduate School of “Inter-Graduate School Programme for Design Studies“ that is an interdisciplinary education program on design attained by the collaboration of mechanical engineering, architectural engineering, informatics, psychology and management, and was initiated with the full finatial support by MEXT in 2012.He has been engaged in the researches on Systems Engineering, Cognitive Science and Artificial Intelligence, particularly in the development of human-machine collaborative systems including human-machine interface design, human-robot collaboration design, usability analysis of human-computer interactions, and design of human-centered automation for smart manufacturing.
His recent main interests are on the design/analysis/evaluation of the socio-technical systems, in which technological, human and organizational factors are interrelated with each other, and on their risk management for establishing resilience against the external disturbances and internal variabilities. His interests are extended towards building a rich aging society model using data-centric design methodologies for establishing the “Data–Knowledge–Experience” cycle, including the development of measurement technologies for field workers' ability (cognition, judgment, operation) and contextual data for work support towards realizing human-centered work systems. His interests also cover interaction analysis between a human driver and a traffic environment, between a human driver and a driver-assistant system, and measurement of a driver's mental workload in partial autonomous driving.