Multi-objective optimisation of user experience in mobile application design via a grey-fuzzy-based Taguchi approach

Abstract

User experience is a key quality of mobile application design. It involves all aspects of human–computer interactions, and thus the optimisation of user experience is a multi-objective optimisation problem. User experience is subjective and uncertain; however, very little attention has been directed toward this issue when optimising user experience. In this article, a grey-fuzzy-based Taguchi approach is proposed to optimise user experience in mobile application design. Design analysis is first conducted to determine mobile design patterns and user experience characteristics. Next, a Taguchi experiment is executed, and then the signal-to-noise ratios are computed. After that, the signal-to-noise ratios are transformed into a multi-response performance index via a grey-fuzzy-based analysis. Finally, based on the multi-response performance index, the optimal design is achieved by using statistical analysis. A mobile health application design was employed to illustrate the proposed approach. The results indicate that this approach can effectively manage the subjectivity and uncertainty concerning user experience characteristics, and can be used as a general robust design approach for optimising user experience of mobile application design.