満足感に適応するヒューマン・マシンインターフェースの開発 : 作業方式の違いによる満足感の比較

概要

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This paper proposes an adaptive human-machine interface to match human satisfaction which is evaluated by the satisfaction measurement system with neural network based on measuring electroenc ephalogram (EEG). This adaptive human-machine interface can adapt to individual operators and varing context based on human satisfaction. A prototype system was developed using a pacing mental task to test the proposed human-machine interface. The result of experiments showed that the adaptive human-machine interface which understands individual human satisfaction in real time and takes adaptive action based on operator' s satisfaction change has the possibility in heightening or maintaining human satisfaction rather than other work styles such as machine paced mode and self-paced mode.
公益社団法人精密工学会の論文
2000-06-05