The rapid development in recent years of smart products characterized by their ability to learn is arousing increasing interest from researchers and managers. However, relatively little work has focused on negative user reactions to these devices, especially with regard to resistance and distrust reactions. Specifically, it is not known how the perception of their learning ability influences user resistance to smart products, nor what the mechanism is that leads to distrust. To address these questions, this study aims to examine the relationship between the consumer’s perception of smart products’ ability to learn and potential consumer resistance. Results of the structural equation modeling provide evidence that: (1) product learning ability has an impact on perceived complexity and perceived risks (privacy risk and discrimination risk), (2) perceived risks have an impact on user distrust, (3) perceived complexity, perceived risks and distrust have an impact on user resistance to smart products.

近年来，以学习能力为特征的智能产品的快速发展引起了研究人员和管理人员的越来越多的兴趣。然而，相对较少的工作集中在用户对这些设备的负面反应上，特别是在抵制和不信任反应方面。具体来说，不知道他们对学习能力的感知如何影响用户对智能产品的抵制，也不知道导致不信任的机制是什么。为了解决这些问题，本研究旨在检验消费者对智能产品学习能力的感知与潜在消费者抵制之间的关系。结构方程模型的结果证明：（1）产品学习能力对感知复杂性和感知风险（隐私风险和歧视风险）有影响，