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arXiv 提交日期: 2026-02-10
📄 Abstract - Understanding Risk and Dependency in AI Chatbot Use from User Discourse

Generative AI systems are increasingly embedded in everyday life, yet empirical understanding of how psychological risk associated with AI use emerges, is experienced, and is regulated by users remains limited. We present a large-scale computational thematic analysis of posts collected between 2023 and 2025 from two Reddit communities, r/AIDangers and r/ChatbotAddiction, explicitly focused on AI-related harm and distress. Using a multi-agent, LLM-assisted thematic analysis grounded in Braun and Clarke's reflexive framework, we identify 14 recurring thematic categories and synthesize them into five higher-order experiential dimensions. To further characterize affective patterns, we apply emotion labeling using a BERT-based classifier and visualize emotional profiles across dimensions. Our findings reveal five empirically derived experiential dimensions of AI-related psychological risk grounded in real-world user discourse, with self-regulation difficulties emerging as the most prevalent and fear concentrated in concerns related to autonomy, control, and technical risk. These results provide early empirical evidence from lived user experience of how AI safety is perceived and emotionally experienced outside laboratory or speculative contexts, offering a foundation for future AI safety research, evaluation, and responsible governance.

顶级标签: llm behavior model evaluation
详细标签: user experience psychological risk ai safety addiction thematic analysis 或 搜索:

从用户话语中理解AI聊天机器人使用的风险与依赖 / Understanding Risk and Dependency in AI Chatbot Use from User Discourse


1️⃣ 一句话总结

这项研究通过分析用户在Reddit上关于AI危害和成瘾的讨论,揭示了AI使用带来的五大心理风险维度,其中自我调节困难最为普遍,而恐惧主要源于对自主权、控制力和技术风险的担忧。

源自 arXiv: 2602.09339