Individual-, task-, and technology-fit perspective of autonomous delivery robots confirmation and adoption in smart cities
本研究结合期望确认理论与个体-任务-技术适配框架，通过637份问卷分析发现交互质量、确认和感知能力是影响消费者采纳自主配送机器人的关键因素，对技术开发者优化设计有参考价值。
For autonomous delivery robots to have commercial viability in smart cities, consumers’ intention to adopt them is crucial. To examine this, the Expectation-Confirmation Theory and Fit between Individuals, Tasks, and Technology framework are applied, and this study aims to examine the adoption intentions of the autonomous delivery robots by interpreting confirmation and interaction quality. A survey was distributed and 637 complete responses were analyzed through structural equation modeling . All the hypotheses were accepted, and the variance in the endogenous variables (interaction quality, confirmation, and adoption intention) was adequately explained by the exogenous variables (individual-technology fit, task-technology fit, anthropomorphism, hedonic motivation , and perceived competence). The key determinants of adoption intentions are interaction quality, confirmation, and perceived competence . Hence, technology developers must optimize consumers’ interactions by designing the interfaces to be user-friendly. Additionally, feedback sessions must be conducted to uncover consumers’ expectations such that their expectations will consistently be met and confirmed.