"Chat, Should I Leave Him?" Risks, Rewards, and Roles for AI in Relationship Advice
Emily Tseng, Calvin A. Liang
Abstract
As more people turn to chatbots for socioemotional support-often termed psychosocial AI-the stakes of understanding these interactions grow. Psychosocial AI might foster healthier human-human relationships-and also might exacerbate loneliness, abuse, and self-harm. We provide an empirical account of one less-studied facet: seeking AI advice on sex, dating, and relationships with other people. We recruited 25 people who use AI for relationship advice to a questionnaire, collecting 90 prompts illustrating their practices. Interviews with 17 further explored how they navigate AI's limitations to achieve intimacy goals. Our findings detail (1) the roles that users imagine for AI in relationship advice; (2) how users navigate risks like sycophancy and overreliance to attain relational benefits; and (3) the folk theories users hold and the prompting tactics they employ to overcome AI's limitations. We close with recommendations for human-AI interaction, AI safety, and sociotechnical research, towards AI that supports healthier digital intimacies.
• Human-centered computing → Empirical studies in HCI.
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.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext ef33cf2c-4666-42a5-ad6b-caac6f40df6dBuilds on14
- Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic ResistanceNadia Karizat, Daniel Delmonaco, Motahhare Eslami, Nazanin AndalibiCSCW 2021 · 338 citations
- "I Hear You, I Feel You": Encouraging Deep Self-disclosure through a ChatbotYi-Chieh Lee, Naomi Yamashita, Yun Huang, Wai FuCHI 2020 · 333 citations
- Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative ModelsRyan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry et al.CHI 2020 · 265 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
- Caring for Intimate Data in Fertility TechnologiesMaryam Mehrnezhad, Teresa AlmeidaCHI 2021 · 89 citations
Related papers
- 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
- Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational LensYunhao Yuan, Jiaxun Zhang, Talayeh Aledavood, Renwen Zhang et al.CHI 2026 · 8 citations
- AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion ChatbotMohammad (Matt) Namvarpour, Harrison Pauwels, Afsaneh RaziCSCW 2025 · 29 citations
- Scaffolded Vulnerability: Chatbot-Mediated Reciprocal Self-Disclosure and Need-Supportive Interaction in CouplesZhuoqun Jiang, ShunYi Yeo, Dorien Herremans, Simon Tangi PerraultCHI 2026 · 2 citations
- 'My Dataset of Love': A Preliminary Mixed-Method Exploration of Human-AI Romantic RelationshipsXuetong Wang, Ching Christie Pang, Pan HuiCSCW 2025 · 16 citations
