User experience is the focus of interaction design, and designing for errors is crucial for improving user experience. One method of designing for errors is to identify human errors and then initiate corrective actions on high‐risk errors to reduce their adverse effects. In this study, we proposed a hybrid approach for risk analysis of human error concerning user experience of interactive systems. In this approach, systematic human error reduction and prediction approach (SHERPA) is first adopted to identify human error concerning user experience. Subsequently, failure mode and effect analysis (FMEA) is used to analyze the risk factors of the error, including occurrence, severity, and detection. Fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is then used to calculate the risk priority number to rank the errors. Finally, corrective actions for high‐risk errors are recommended. An in‐vehicle information system was used to demonstrate the proposed approach. The results indicated that the proposed approach can effectively analyze the risk of human error concerning user experience and be used as a universal reliability approach for improving user experience in interaction design.

中文翻译：

---

基于FMEA，SHERPA和模糊TOPSIS的混合方法在交互设计中的人为错误风险分析

用户体验是交互设计的重点，而错误设计对于改善用户体验至关重要。设计错误的一种方法是识别人为错误，然后对高风险错误采取纠正措施以减少其不利影响。在这项研究中，我们提出了一种关于交互式系统用户体验的人为错误风险分析的混合方法。在这种方法中，首先采用系统化的人为错误减少和预测方法（SHERPA）来识别与用户体验有关的人为错误。随后，使用故障模式和影响分析（FMEA）分析错误的风险因素，包括发生，严重性和检测。然后通过类似于理想解决方案（TOPSIS）的顺序偏好的模糊技术来计算风险优先级数字以对错误进行排名。最后，建议对高风险错误采取纠正措施。车载信息系统用于演示该方法。结果表明，所提出的方法可以有效地分析与用户体验有关的人为错误的风险，并可以用作改善交互设计中用户体验的通用可靠性方法。