Optimization of user experience in interaction design through a Taguchi‐based hybrid approach. Issue 2 (9th September 2018)

• Record Type: Journal Article
• Authors: Li, Yongfeng; Zhu, Liping
• Is Part Of: Human factors and ergonomics in manufacturing and service industries. Volume 29:Issue 2(2019)
• Page Start: 126
• Page End: 140
• Publication Date: 2018-09-09
• Subjects: analytic hierarchy process -- gray relational analysis -- optimization -- taguchi method -- user experience; Computer integrated manufacturing systems -- Periodicals; Human engineering -- Periodicals; 620.8205
• DOI: 10.1002/hfm.20765
• Languages: English
• ISSNs: 1090-8471

Abstract

Abstract: User experience (UX), which encompasses all aspects of a user's interaction with an interactive product, has been recognized as central to interaction design. This paper proposes a Taguchi‐based hybrid approach to realize the optimal UX design. In this approach, design analysis is first used to identify design patterns and UX characteristics. According to the results, a Taguchi experiment is conducted and the signal‐to‐noise ratios are computed. Subsequently, the preference weights for the UX characteristics are obtained by using analytical hierarchy process‐based group decision making. A multiperformance characteristic index is then defined based on the gray relational grade (GRG) obtained through gray relational analysis. On the basis of the GRG, the optimal design can be obtained. A mobile health application design was used to demonstrate the proposed approach. The results show that this approach can effectively enhance UX quality and be used as a universal design approach for optimizing UX.