Optimization of Interactive Intelligent Metro Public Facilities: Design Strategies and Satisfaction Analysis Based on User Experience Theory

With the promotion of China’s intelligent transportation policy, the impact of interactive intelligent systems and technologies in metro public facilities on passengers’ travel satisfaction has been increasingly emphasized; however, the current mechanism of influence between the level of intelligence and user satisfaction of metro public facilities has not yet been deeply explored. Therefore, this study takes Shanghai metro transportation as the background, and based on the extended technology acceptance model, seven research hypotheses based on the satisfaction of interactive intelligent metro public facilities are constructed by introducing four variables, namely, functional experience, content experience, interactive experience, and emotional experience, in user experience theory. Secondly, the study analyzed the data from the 299 valid samples collected through reliability, validity, normality, correlation, heat map, model fitness and structural equation modeling. The results show that all the research hypotheses are valid and there is a progressive relationship between different experience factors, in which functional experience affects perceived ease of use, emotional experience affects perceived usefulness, and perceived usefulness directly affects satisfaction. Based on the above research, four principle design strategies are innovatively proposed: "de-complicating and simplifying," "approachable," "striving for excellence," and "caring." Based on these strategies, a set of interactive smart metro public facilities and supporting HMIs and a set of WeChat mini-program HMIs are designed. Finally, the effectiveness of the four-principle design strategy is verified by conducting a usability assessment of this design solution.