The purpose of this study is to construct a meta-model that absorbs model differences and captures multiple variables in a unified manner, and an ontology that defines its elements, as a conceptual foundation for integrating and simulating computable models of Kansei. Specifically, we aim to realize seamless use of knowledge by building a simulation model of color emotion and a model of brain functions that process color information, and integrating them based on the meta-model. This research theme is succeeded by Grant-in-Aid for Scientific Research (C).

As one of the results so far, we have conducted experiments to investigate the factors causing the uncanny valley phenomenon. One possible factor is category ambiguity. We focused on the neural dynamics of neurons in the inferior temporal cortex (ITC) as a neural mechanism for generating category ambiguity. We simulated and observed the activity of neurons when inputting ambiguous stimuli in which elements of two categories are mixed, and found that category ambiguity prolongs the response latency. In addition, we experimentally tested the following hypothesis to clarify the relationship between the latency of human response to ambiguous stimuli and the combination of categories to which the elements to be mixed during the creation of ambiguous stimuli belong.  In this experiment, subjects were asked to perform two alternative forced-choice delayed matching-sample tasks.  We have been analyzing the gaze of the participants acquired during the task, which will be presented at an international conference later in the year.