Theoretical Analysis of Trust Mechanisms in AI Chatbots based on Literature Review: Conceptual Definition and Impact Effects

Abstract

With the rapid development of artificial intelligence technology, AI chatbots have been widely applied in multiple fields. Based on the systematic review by Ng and Zhang (2025), this paper conducts a theoretical exploration through literature integration and analysis, focusing on two core issues in AI chatbot trust research: the conceptual definition dilemma of trust and its double-edged sword effects. Literature analysis reveals that existing studies tend to directly transplant interpersonal trust theories during trust conceptualization, overlooking the uniqueness of humancomputer interaction. Meanwhile, while trust promotes technology adoption, it may also trigger over-reliance and psychological risks. Based on theoretical synthesis, this paper suggests establishing trust theoretical frameworks specifically applicable to human-computer interaction and employing longitudinal research methods to explore the dynamic development process of trust.

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