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.

中文翻译：

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基于灰色模糊的田口方法对移动应用程序设计中的用户体验进行多目标优化

用户体验是移动应用程序设计的关键品质。它涉及人机交互的方方面面，因此用户体验的优化是一个多目标优化问题。用户体验是主观的和不确定的；然而，在优化用户体验时，很少有人关注这个问题。在本文中，提出了一种基于灰色模糊的田口方法来优化移动应用程序设计中的用户体验。首先进行设计分析以确定移动设计模式和用户体验特征。接下来，执行田口实验，然后计算信噪比。之后，通过基于灰色模糊的分析将信噪比转换为多响应性能指标。最后，基于多响应性能指标，优化设计是通过使用统计分析来实现的。采用移动健康应用程序设计来说明所提出的方法。结果表明，该方法可以有效管理用户体验特征的主观性和不确定性，可作为优化移动应用程序用户体验的通用稳健设计方法。