Implicit Kansei Evaluation of Satisfaction Based on EEG Measurement.

This paper deals with the implicit kansei evaluation of human satisfaction with emphasis on human cognitive information processing. Satisfaction was evaluated using satisfaction measurement system which estimates human satisfaction degree with neural network based on measuring electroencephalogram when subjects were shown three types of video program. It showed that the system was able to successfully evaluate satisfaction degree in real time according to video contents. Also synthesizing artifacts based on the implicit kansei evaluation of satisfaction by the satisfaction measurement system was discussed in terms of kansei information processing. The result demonstrated that the implicit kansei evaluation by the satisfaction measurement system can be applied to the design and development that takes human satisfaction into consideration.