Knowledge Representation for Impressions based on Doer's Awareness

Abstract

Recently, human kansei is one of the important factors in product design. Several\nmehods to extract knowledge about impressions have been developed in the field of architectonics\nand kansei engineering. However, few studies have addressed management of such the knowledge,\nand no methods to be commonly used in the management have been established. Thus, our study\nproposes and implements a knowledge management method that can effectively provide knowledge\nof impressions. We introduce a framework for descriptions of impressions explained by perceptual\nfluency which can serve as an useful indicator of a pleasure. Since perceptions are closely related\nto awareness, we model a perception as well as awareness and a self-report for the framework\nbased on an ontology development environment Hozo and a top-level ontology YAMATO. We then\ninstantiate a case where a person has a good impression of a web page, and we describe relations\nbetween a perception and stimulus in such the case. Our approach demonstrates that ontological\nmodeling of impressions helps us to understand correspondences between affections and physical\nirritations.