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Proceedings of the 8th International Conference on Kansei Engineering and Emotion Research : KEER 2020, 7-9 September 2020, Tokyo, Japan / edited by Hiroko Shoji, Shinichi Koyama, Takeo Kato, Keiichi Muramatsu, Toshimasa Yamanaka, Pierre Lévy, Kuohsiang Chen, Anitawati Mohd Lokman

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Advances in Intelligent Systems and Computing ; 1256Publisher: Singapore : Springer Singapore, 2020Publisher: Singapore : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 Online-Ressource(XV, 442 p. 177 illus., 124 illus. in color.)ISBN:
  • 9789811578014
Subject(s): Additional physical formats: 9789811578007 | 9789811578021 | Erscheint auch als: 9789811578007 Druck-Ausgabe | Erscheint auch als: 9789811578021 Druck-AusgabeDOI: DOI: 10.1007/978-981-15-7801-4Online resources: Summary: Application of Ambient Scenting and High-Resolution Sound to Children with Intellectual Disabilities to Increase the Total Time for Communication Engagement -- Kansei Engineering Implementation in Web-Based Systems: A Review Study -- Kansei Engineering In Malaysia And Indonesia: A Systematic Literature Review -- Toward Generalized System Modeling Incorporating Kansei -- Exploring Environmental Distance Space from the Perspective of Cognitive Perception -- Kansei Research on User Experience Appeal and Market Value System of Products -- Visual Features of the Touchscreen Keyboard Guide Attention and Text Entry Behavior: An Eye-Tracking Study.Summary: This book gathers a selection of refereed papers presented at the 8th International Conference on Kansei Engineering and Emotion Research 2020 (KEER 2020), which was held in Tokyo, Japan, 7–9 September 2020. The contributions address the latest advances in and innovative applications of Kansei Engineering and Emotion Research and related topics. This book caters researchers and graduate students in the field of design, art, Kansei engineering, and other engineering fields, psychology, physiology, and education. .PPN: PPN: 1728470390Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE
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