The AI Genie Phenomenon and Three Types of AI Chatbot Addiction: Escapist Roleplays, Pseudosocial Companions, and Epistemic Rabbit Holes
M. Karen Shen, Jessica Huang, Olivia Liang, Ig-Jae Kim, Dongwook Yoon
Abstract
Recent reports on generative AI chatbot use raise concerns about its addictive potential. An in-depth understanding is imperative to minimize risks, yet AI chatbot addiction remains poorly understood. This study examines how to characterize AI chatbot addiction—why users become addicted, the symptoms commonly reported, and the distinct types it comprises. We conducted a thematic analysis of Reddit entries (n=334) across 14 subreddits where users narrated their experiences with addictive AI chatbot use, followed by an exploratory data analysis. We found: (1) users’ dependence tied to the “AI Genie” phenomenon—users can get exactly anything they want with minimal effort—and marked by symptoms that align with addiction literature, (2) three distinct addiction types: Escapist Roleplay, Pseudosocial Companion, and Epistemic Rabbit Hole, (3) sexual content involved in multiple cases, and (4) recovery strategies’ perceived helpfulness differ between addiction types. Our work lays empirical groundwork to inform future strategies for prevention, diagnosis, and intervention.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Builds on10
- MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained TransformersWenhui Wang, Furu Wei, Li Dong, Hangbo Bao et al.NeurIPS 2020 · 2,727 citations
- How the Design of YouTube Influences User Sense of AgencyKai Lukoff, Ulrik Lyngs, Himanshu Zade, J. Vera Liao et al.CHI 2021 · 177 citations
- The Dark Side of AI Companionship: A Taxonomy of Harmful Algorithmic Behaviors in Human-AI RelationshipsRenwen Zhang, Han Li, Han Meng, Jinyuan Zhan et al.CHI 2025 · 122 citations
- About Engaging and Governing Strategies: A Thematic Analysis of Dark Patterns in Social Networking ServicesThomas Mildner, Gian-Luca Savino, Philip R. Doyle, Benjamin R. Cowan et al.CHI 2023 · 82 citations
- Defining and Identifying Attention Capture Deceptive Designs in Digital InterfacesAlberto Monge Roffarello, Kai Lukoff, Luigi De RussisCHI 2023 · 81 citations
Related papers
- Understanding Teen Overreliance on AI Companion Chatbots Through Self-Reported Reddit NarrativesMohammad (Matt) Namvarpour, Brandon Brofsky, Jessica Y. Medina, Mamtaj Akter et al.CHI 2026 · 19 citations
- Exploring Parent-Child Perceptions on Safety in Generative AI: Concerns, Mitigation Strategies, and Design ImplicationsYaman Yu, Tanusree Sharma, Melinda Hu, Justin Wang et al.S&P 2025
- Caught in a Mafia Romance: How Users Explore Intimate Narratives with ChatbotsJulia B. Kieserman, Cat Mai, Sara Lignell, Lucy Qin et al.CHI 2026 · 1 citation
- When Generative AI Is Intimate, Sexy, and Violent: Examining Not-Safe-For-Work (NSFW) Chatbots on FlowGPTXian Li, Yuanning Han, Di Liu, Pengcheng An et al.CHI 2026 · 1 citation
- Developing a Social Support Framework: Understanding the Reciprocity in Human-Chatbot RelationshipShuyi Pan, Maartje M. A. de GraafCHI 2025 · 19 citations
