A clustering approach to affective response dimension selection for product design

Journal of Convergence Information Technology

Volumn 6, Issue 2, 2011, Pages 197-206

  Shieh, Meng Dar ^a   Wang, Tsung Hsing ^a   Yang, Chih Chieh ^b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b SOUTHERN TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Hierarchical clustering analysis; K means clustering; Kansei engineering; Product design

Indexed keywords

AFFECTIVE RESPONSE; CLUSTERING APPROACH; DIMENSION SELECTION; FACTOR ANALYSIS; HIERARCHICAL CLUSTERING ANALYSIS; K-MEANS CLUSTERING; KANSEI ENGINEERING; MOBILE PHONE DESIGN; NEW PRODUCT DEVELOPMENT; PRODUCT DESIGNERS; PURCHASING DECISIONS; SEMANTIC DIFFERENTIAL;

KNOWLEDGE BASED SYSTEMS; PRODUCT DEVELOPMENT; SEMANTICS; TELECOMMUNICATION EQUIPMENT;

PRODUCT DESIGN;

EID: 79952377457     PISSN: 19759320     EISSN: None     Source Type: Journal    
DOI: 10.4156/jcit.vol6.issue2.21     Document Type: Article

References (13)

1. Mondrago'n, S., Company, P. & Vergara, M., Semantic Differential applied to the evaluation of machine tool design, International Journal of Industrial Ergonomics, vol. 35, pp. 1021-1029, 2005.
2. Hsu, S.H., Chuang, M.C., Chang C.C., A semantic differential study of designers' and users' product form perception, International Journal of Industrial Ergonomics, vol. 25, pp. 375-391, 2000.
3. Alcántara, E., Artacho, M.A., González, J.C. & García, A.C., Application of product semantics to footwear design. Part I-Identification of footwear semantic space applying differential semantics, International Journal of Industrial Ergonomics, vol. 35, pp. 713-725, 2005.
4. Petiota, J. & Yannou, B., Measuring consumer perceptions for a better comprehension, specification and assessment of product semantics, International Journal of Industrial Ergonomics, vol. 33, pp. 507-525, 2004.
5. Nakada, K., Kansei engineering research on the design of construction machinery, International Journal of Industrial Ergonomics, vol. 19, pp. 129-146, 1997.
6. Fan, L., Liu, C. & Liu, Q., The application research of high-dimensional mixed-attribute data clustering algorithm, International Journal of Digital Content Technology and its Applications, vol. 4, no. 2, pp. 131-134, 2010.
7. Liu, Y., Shen, Y., "Data clustering with CAT swarm optimization", Journal of Convergence Information Technology, vol. 5, no. 8, pp. 21-28, 2010.
8. Chen, D., Wang, J., Chen, X. & Xu, X., A Search algorithm for clusters in a network or graph, International Journal of Digital Content Technology and its Applications, vol. 4, no. 6, pp. 115-122, 2010.
9. Shieh, M.D., Wang, T.H., Yang, C.C., Affective response dimension selection for product design: A comparison of cluster analysis and Procrustes analysis, International Journal of Digital Content Technology and its Applications, vol. 5, no. 1, pp. 305-318, 2011.
10. Chuang, M.C., Expressing the expected product images in product design of micro-electronic products, International Journal of Industrial Ergonomics, vol. 27, pp. 233-245, 2001.
11. Hsiao, K.A. & Chen, L.L., Fundamental dimensions of affective responses to product shapes, International Journal of Industrial Ergonomics, vol. 36, pp. 553-564, 2006.
12. Chuang, M.C., Chang, C.C. & Hsu, S.H., Perceptual factors underlying user preferences toward product form of mobile phones, International Journal of Industrial Ergonomics, vol. 27, pp. 247-258, 2001.
13. Thurstone, L. L., Multiple Factor Analysis. Chicago: University of Chicago Press, 1947.