Nowadays, the affective qualities elicited by the product design plays a crucial role in determining the likelihood of its success in today's increasingly competitive marketplace. To resolve the trade-offs dilemma in multiple-attribute optimization of affective user satisfaction, a decision-making support model based on the two-dimensional quality model, the extended Kano model, is presented in this study. The proposed model can assists designers in prioritizing actions and resource allocation to guide ideal product conception in different competitive situation. The implementation of this proposed model is demonstrated in detail via a case study of mobile phone design.
|Title of host publication||ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT III|
|Publisher||Springer-Verlag Berlin Heidelberg|
|State||Published - 2011|
|Event||8th International Symposium on Neural Networks - Guilin, China|
Duration: 29 May 2011 → 1 Jun 2011
|Name||Lecture Notes in Computer Science|
|Conference||8th International Symposium on Neural Networks|
|Period||29/05/11 → 1/06/11|
- User satisfaction; Kano model; Multiple-attribute decision making; affective design
Chen, C-C., & Chuang, M-C. (2011). A Design Decision-Making Support Model for Prioritizing Affective Qualities of Product. In ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT III (Vol. 6677, pp. 21-+). (Lecture Notes in Computer Science; Vol. 6677). Springer-Verlag Berlin Heidelberg.