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Hideyoshi Yanagisawa,Kyosuke Tagashira,Tamotsu Murakami (사)한국CDE학회 2010 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8
In the design of kansei quality, it is desired to extract causal relations between design attributes and the customer’s affective responses. In this paper, the authors propose a new method for extraction of logical rules consisting of combinations of design attributes that contribute to a customer’s affective judgment towards product appearance. In the method, we apply a rough set theory to derive alternatives of causal rules, and use the customer’s eye gaze features for refining the rules. We estimate two types of visual attentions (VA), i.e., a single visual attention (SVA) and a combinational visual attention (CVA), by using the proposed gaze features. To demonstrate the effectiveness of the method, we conducted a sensory evaluation experiment using a car-interior design. In the experiment, multiple participants evaluated multiple design samples by selecting from a set of words. During the experiment, we recorded the participants’ eye gaze movements as coordinates on a screen, and asked them to vocalize aloud what they were thinking. From the results, we confirmed that the estimated SVA and CVA significantly covered the vocalized thoughts and statements made in the retrospective interview. The estimated VA reduced 53% of the erroneous rules and improved the quality of the rules.