Abstract

Background: With the rapid advancement of AI and robotics, Human-Robot Interaction (HRI) has been increasingly adopted in medical care, educational counselling, service reception and other scenarios. User trust directly impacts robots’ acceptance and operational effectiveness, and the lack of such trust has become a key barrier to the development of human-robot collaboration. Purpose: This paper focuses on the construction mechanism of user trust in HRI, aiming to explore its key influencing factors and action paths to provide theoretical support and design insights for trust-oriented interaction design. Methods: The study combines literature analysis, typical case analysis, and cross-case comparison, summarizing core design features and user feedback of representative human-robot products at home and abroad. Results: This study proposes a multi-factor collaborative trust construction framework. It emphasizes that the design of future human-robot interaction should focus on establishing a dynamic trust relationship. This approach aims to improve the system's transparency, predictability and emotional connection to enhance the user acceptance and reliance on robots. The findings of this study are significant for optimizing user experience and increasing the social acceptance of intelligent interactive products Conclusion: The findings are of great significance for optimizing user experience and enhancing the social acceptance of intelligent interactive products, with practical implications for HRI design practice.