Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation. (15th July 2017)

• Record Type: Journal Article
• Authors: Zhou, Feng; Lei, Baiying; Liu, Yitao; Jiao, Roger Jianxin
• Is Part Of: Expert systems with applications. Volume 78(2017)
• Page Start: 1
• Page End: 15
• Publication Date: 2017-07-15
• Subjects: Decision analysis -- Affective parameter shaping -- Markov chain Monte Carlo -- User experience evaluation model -- Hierarchical Bayesian model; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2017.02.003
• Languages: English
• ISSNs: 0957-4174

Abstract

Highlights: The cumulative prospect theory quantitatively fulfills user experience evaluation. We study the influence of affective states through shaping affective parameters. We develop a hierarchical Bayesian model via Markov chain Monte Carlo technique. We demonstrate the proposed method via a aircraft cabin interior design. Abstract: User Experience (UX) design has become an important factor of product success. One of the important issues involved in UX design is how to evaluate UX. In this research, UX evaluation is quantitatively fulfilled by the cumulative prospect theory, in which UX is perceived from the perspective of the decision making procedure of two alternative design profiles. Furthermore, we study the influence of affective states on UX prospect evaluation through shaping affective parameters involved in UX design. To account for multiple sources of uncertainties, we develop a hierarchical Bayesian model via Markov chain Monte Carlo technique for parameter estimation under three affective states. Also, aircraft cabin interior design is studied as a case study to demonstrate the potential and feasibility of the proposed method.