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Authors:
廖宇香
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Information:
广西师范大学,桂林
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Keywords:
Artificial intelligence; Chatbots; Trust mechanisms; Human-computer interaction; Technology adoption; Theoretical analysis
人工智能; 聊天机器人; 信任机制; 人机交互; 技术采纳; 理论分析
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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.
随着人工智能技术的快速发展,AI聊天机器人已在多个领域得到广泛应用。本文基于Ng和Zhang(2025)的系统综述,通过整合分析现有文献,对AI聊天机器人信任研究进行理论探讨,重点分析两个核心问题:信任的概念界定困境及其双刃剑效应。文献分析表明,现有研究在信任概念化过程中存在直接移植人际信任理论的问题,忽视了人机交互的特殊性;同时,信任在促进技术采纳的同时,也可能引发过度依赖和心理风险。基于理论梳理,本文建议未来应建立专门适用于人机交互的信任理论框架,并采用纵向研究方法探索信任的动态发展过程。
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DOI:
https://doi.org/10.35534/pc.0711227 (registering DOI)
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Cite:
廖宇香. (2025). 基于文献综述的AI聊天机器人信任机制理论分析: 概念界定与影响效应. 中国心理学前沿, 7 (11), 1394-1399.