{"slug": "emotional-well-being-on-chatgpt", "title": "Emotional Well-Being on ChatGPT", "summary": "An arXiv paper submitted on 4 Apr 2025 by researchers investigating affective use and emotional well-being on ChatGPT found that very high usage correlates with increased self-reported indicators of dependence, based on a privacy-preserving analysis of over 3 million conversations, a survey of over 4,000 users, and an IRB-approved randomized controlled trial of close to 1,000 participants over 28 days. The RCT found the impact of voice-based interactions on emotional well-being to be highly nuanced, influenced by the user's initial emotional state and total usage duration, and the analysis revealed that a small number of users are responsible for a disproportionate share of the most affective cues.", "body_md": "# Computer Science > Human-Computer Interaction\n\n  [Submitted on 4 Apr 2025]\n\n# Title:Investigating Affective Use and Emotional Well-being on ChatGPT\n\n[View PDF](https://arxiv.org/pdf/2504.03888)\n\n[HTML (experimental)](https://arxiv.org/html/2504.03888v1)\n\nAbstract:As AI chatbots see increased adoption and integration into everyday life, questions have been raised about the potential impact of human-like or anthropomorphic AI on users. In this work, we investigate the extent to which interactions with ChatGPT (with a focus on Advanced Voice Mode) may impact users' emotional well-being, behaviors and experiences through two parallel studies. To study the affective use of AI chatbots, we perform large-scale automated analysis of ChatGPT platform usage in a privacy-preserving manner, analyzing over 3 million conversations for affective cues and surveying over 4,000 users on their perceptions of ChatGPT. To investigate whether there is a relationship between model usage and emotional well-being, we conduct an Institutional Review Board (IRB)-approved randomized controlled trial (RCT) on close to 1,000 participants over 28 days, examining changes in their emotional well-being as they interact with ChatGPT under different experimental settings. In both on-platform data analysis and the RCT, we observe that very high usage correlates with increased self-reported indicators of dependence. From our RCT, we find that the impact of voice-based interactions on emotional well-being to be highly nuanced, and influenced by factors such as the user's initial emotional state and total usage duration. Overall, our analysis reveals that a small number of users are responsible for a disproportionate share of the most affective cues.\n    \n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer \n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers \n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps \n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations \n\n*(*[What are Smart Citations?](https://www.scite.ai/))\n# Code, Data and Media Associated with this Article\n\nalphaXiv \n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers \n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub \n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub \n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face \n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast \n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))\n# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower \n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender \n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))\n# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [**Learn more about arXivLabs**](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/emotional-well-being-on-chatgpt", "canonical_source": "https://arxiv.org/abs/2504.03888", "published_at": "2026-09-28 02:09:08+00:00", "updated_at": "2026-09-28 02:49:30.141983+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-safety", "ai-ethics", "large-language-models", "ai-research"], "entities": ["ChatGPT", "OpenAI", "arXiv"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/emotional-well-being-on-chatgpt", "markdown": "https://wpnews.pro/news/emotional-well-being-on-chatgpt.md", "text": "https://wpnews.pro/news/emotional-well-being-on-chatgpt.txt", "jsonld": "https://wpnews.pro/news/emotional-well-being-on-chatgpt.jsonld"}}