抄録
To make KANSEI model for robotics, it is important to consider information of Deep KANSEI based on psychophysics. However, there has been no objective assessment scale for Deep KANSEI. In this paper, we investigate an objective assessment scale for Deep KANSEI based on psychological and physiological measurements. Firstly, we have evaluated a reproduced sound on Extra HI System M, which is able to highly faithfully reproduce information related with Deep KANSEI associated with music source. Secondly, on the same conditions, we have measured cardiac beat, facial skin temperature and brain wave, then, calculated and analyzed five physiological indexes (LF/ (LF+HF), ΔTmax, gradTmax, α wave, Fm θ wave) by principal component analysis (PCA). Finally, we have discussed relationship between assessment words and physiological characteristics for a sound reproduction. As a result, we have suggested time changing activity of the sympathetic and parasympathetic nervous system as a possible index of an objective assessment scale for Deep KANSEI.
