Affective parameter shaping in user experience prospect evaluation based on hierarchical Bayesian estimation

作者：

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.

摘要

•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.

论文关键词：Decision analysis,Affective parameter shaping,Markov chain Monte Carlo,User experience evaluation model,Hierarchical Bayesian model

论文评审过程：Received 8 July 2016, Revised 5 January 2017, Accepted 2 February 2017, Available online 3 February 2017, Version of Record 14 February 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.02.003