Proposal of a framework to share knowledge on consumer's impressions

Keiichi Muramatsu*, Tatsuo Togawa, Kazuaki Kojima, Tatsunori Matsui

*この研究の対応する著者

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Recently, impressions of web pages formed by visitors have become an important tool to increase the number of repeat visitors to the web page. Therefore, the management of knowledge on consumers' impressions obtained in several study fields is an essential task in current industrial design. However, no methods that realize such knowledge management have been established. Thus, our study proposes and implements a knowledge management method that can effectively provide knowledge of impressions to web designers to help them in building attractive websites. We introduce a framework for the description of impressions that depend on perceptual fluency, which can serve as an useful indicator of pleasure. We can extract the features of objects that affect impressions on the basis of perceptual fluency. We specify the relationship between objects and impressions by modeling the concepts of awareness, perception, and self-report on the basis of an ontology development environment Hozo and a top-level ontology YAMATO. We then instantiate a case where a person has a good impression of a Web page, and we describe the relationship between a perception and a stimulus in such a case. Our approach demonstrates that ontological modeling of impressions helps us to understand the correspondences between affections and physical irritations.

本文言語English
ホスト出版物のタイトルICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
ページ388-393
ページ数6
出版ステータスPublished - 2011 7 14
イベント3rd International Conference on Agents and Artificial Intelligence, ICAART 2011 - Rome, Italy
継続期間: 2011 1 282011 1 30

出版物シリーズ

名前ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence
1

Conference

Conference3rd International Conference on Agents and Artificial Intelligence, ICAART 2011
国/地域Italy
CityRome
Period11/1/2811/1/30

ASJC Scopus subject areas

  • 人工知能

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