In recent years, many governments and companies have gradually launched robotaxi projects to help make transportation systems smarter, improve travel efficiency, and reduce travel costs. Robotaxi is a new mode of travel that replaces human driving with machines, freeing up social labour and enriching people’s travel choices. This study employs the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) to understand the influencing factors of users’ adoption and usage of robotaxis in China to facilitate the broader integration of robotaxis into urban transportation systems. This study surveyed the preferences of 2048 respondents and analysed the data through structural equation modelling. The results indicate that performance expectancy, hedonic motivation, and price value are the factors influencing users’ behavioural intentions, while effort expectancy and social influence affect use behaviour. In contrast, habit is an important factor that affect both behavioural intention and actual use behaviour. Based on the findings, we have proposed practical strategies to improve robotaxi services and updated the UTAUT2 model in the context of robotaxi. We suggest that robotaxi operators can promote user acceptance and use by reducing the difficulty of use, improving the cost performance and the ride experience, and making appropriate publicity and guidance.

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With more and more people adopting wearable fitness devices to help them carry out physical activities more regularly, the market analysis reports a relatively high abandonment rate after six months of usage. This article aims to contribute to consumer study in fitness wearable technology by understanding the underlying determinants of consumer’s continuance intention to use wearable fitness devices (e.g., fitness trackers), and proposing a few suggestions to fitness wearable companies and designers for further product development. This research article consists of two empirical studies. In the first study, we propose a research model that is based on the expectation-confirmation model and integrates two extra factors, which are 'technology innovativeness’ and 'eHealth literacy’. The data collection is done via online surveys. The second study is intended to design upon the findings from the first study, during which we did arrange an offline education intervention for student participants and conduct a 2 × 2 experimental study. For both studies, we use quantitative methods to analyse data and draw conclusions. From the first study, we found that users’ technology innovativeness and eHealth literacy will indirectly influence their continuous intention to use wearable fitness devices. The second study reveals that male consumers tend to increase their continuance intention to use wearable fitness devices when their eHealth literacy has been enhanced by training. To sum up, the value of this article lies in two aspects. First, it is the first study in the field of fitness wearable technology (FWT) to learn how consumer behaviour will be influenced by a person’s eHealth literacy. Second, our study goes further to investigate to what extent the improvement of eHealth literacy will influence consumer’s continuous intention.@en