Development of Kansei analysis method based on expectation disconfirmation between different sensory modalities

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Expectation disconfirmation affects an evaluation of product perceived quality. Prior prediction biases posterior perceptions of product quality. In this project, we developed a new methodology for evaluating and analyzing the visual expectation effect on tactile perceptions of surface texture. We created an apparatus that synthesizes any combinations of visual and tactile stimulus using a half mirror. We demonstrated that the method using the apparatus can quantitatively extract the visual expectation effect. We further discovered that the prediction uncertainty expressed using information entropy of subjective distributions works as a occurrence condition of expectation effect.