表題番号:2021C-372 日付:2022/04/08
研究課題感性シミュレーションに向けた色彩感情モデルの概念整理
研究者所属(当時) 資格 氏名
(代表者) グローバルエデュケーションセンター 准教授 村松 慶一
研究成果概要

The purpose of this study is to build a meta-model that absorbs model differences and captures multiple variables in a unified manner. Specifically we developed an ontology that defines its elements, as a conceptual basis for integrating and simulating computable models of Kansei. Each of the studies to gain insight into Kansei is based on some model. For example, when simulations are performed to obtain design solutions for Kansei design, there is no consistent foundation for using this knowledge, which is not only inconvenient but also makes it difficult to understand the behavior of parameters in a unified manner. To establish a methodology for knowledge utilization, we constructed a meta-model and an ontology. Specifically, we organized the structure, concepts, and knowledge of the model necessary for the simulation of color emotion. Specifically, we reviewed our previous studies on color emotion and attempted to construct an ontology of the concepts underlying these models.

As one of the results, we reported on the examination of color emotion and color rendering for facial color and average face.Emotional responses to color stimuli are called color emotions, and the relationship between color attributes and color emotions has been discussed in previous studies. In this study, an analysis was conducted to clarify the relationship between color rendering and color emotion with respect to facial color using a lighting system that controls color rendering. The lighting system used has four colors (red, green, blue, and yellow) of LEDs to enhance color rendering. By bringing together the two previous studies, this study comprehensively examined color rendering and color preference for the average face. On the basis of the model of the relationship between color emotion and color rendering obtained by the two studies, we compared the color emotion of the average face color with the huce skin color, and found that color shifts in the direction of red and green. The results suggest that monochromatic and average facial impressions are affected differently.