A sensibility evaluation apparatus includes: a specifier configured to specify, among human types, a human type of a user; an extractor configured to specify, for each of the at least one neurophysiological index, among neurophysiological data of a user, neurophysiological data belonging to clusters of the neurophysiological data to extract at least a feature value from the neurophysiological data specified; a first evaluator configured to select, for each of the at least one neurophysiological index, a weighting coefficient corresponding to the human type of the user from predetermined weighting coefficients by the predetermined human types and apply the weighting coefficient selected to the at least one feature value extracted to evaluate the each of the at least one neurophysiological index; and a second evaluator configured to select a weighting coefficient corresponding to the human type of the user from predetermined weighting coefficients by the predetermined human types and apply the weighting coefficient selected to the each of the at least one neurophysiological index calculated to evaluate the degree.
SENSIBILITY EVALUATION APPARATUS, SENSIBILITY EVALUATION METHOD AND METHOD FOR CONFIGURING MULTI-AXIS SENSIBILITY MODEL