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2009 Second International Symposium on Computational Intelligence and Design
Research of the Affective Responses to Product's Texture Based on the Kansei Evaluation
Changsha, Hunan, China
December 12-December 14
ISBN: 978-0-7695-3865-5
| ASCII Text | x | ||
| Kai Wang, "Research of the Affective Responses to Product's Texture Based on the Kansei Evaluation," Computational Intelligence and Design, International Symposium on, vol. 2, pp. 352-355, 2009 Second International Symposium on Computational Intelligence and Design, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ISCID.2009.234, author = {Kai Wang}, title = {Research of the Affective Responses to Product's Texture Based on the Kansei Evaluation}, journal ={Computational Intelligence and Design, International Symposium on}, volume = {2}, year = {2009}, isbn = {978-0-7695-3865-5}, pages = {352-355}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISCID.2009.234}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computational Intelligence and Design, International Symposium on TI - Research of the Affective Responses to Product's Texture Based on the Kansei Evaluation SN - 978-0-7695-3865-5 SP352 EP355 A1 - Kai Wang, PY - 2009 KW - Kansei evaluation; texture; affective design; product design VL - 2 JA - Computational Intelligence and Design, International Symposium on ER - | |||
Most of studies of Kansei engineering have discussed the relations between user’s Kansei evaluation and product’s form element features. However, the future trend of creative product design is no longer only to emphasize the shape and color of products, but has to put equal emphasis on texture consideration to satisfy users’ affective requirement. The effect of creative texture design of products can arouse users’ perception of special product images. Thus, this research was designed to explore how the texture affects users’ affective perception on product images. We collected a large number of texture images and adjectives suitable for describing the affective responses to these textures. We extracted representative textures and generated a list of 24 adjectives covering all clusters of adjectives for the textures. We then conducted semantic differential surveys using the representative products and 24 adjectives. The collected data were analyzed through factor analysis and conjoin analysis. The result revealed the effects of texture to affect users’ kansei evaluation from different sense experience.
Index Terms:
Kansei evaluation; texture; affective design; product design
Citation:
Kai Wang, "Research of the Affective Responses to Product's Texture Based on the Kansei Evaluation," iscid, vol. 2, pp.352-355, 2009 Second International Symposium on Computational Intelligence and Design, 2009
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