research

Early methods for studying affective use and emotional well-being on ChatGPT

For AI workflow builders, understanding the emotional impact of chat interactions is crucial for creating user-centric and ethically sound products, as emotional well-being directly influences user trust and long-term engagement.

OpenAI Blog·March 21, 2025·1 min readresearch

researchEarly methods for studying affective use and emotional well-being on ChatGPT

openai.com

What happened

OpenAI, in collaboration with the MIT Media Lab, has released early methods for studying how users interact with ChatGPT in emotionally significant contexts and how these interactions affect their well-being. The research aims to establish frameworks for measuring affective use—where users seek emotional support, vent, or engage in empathetic exchanges—and to assess the psychological impact of such engagements. By developing survey instruments and analysis techniques, the team hopes to provide a foundation for future studies on AI's role in emotional health. For developers building AI workflows, this signals a growing need to consider emotional design factors when integrating conversational agents into applications, as user satisfaction and safety may hinge on appropriate affective responses.

Key takeaways

OpenAI and MIT Media Lab are collaborating on research into the emotional dimensions of ChatGPT usage.
The project focuses on 'affective use'—interactions where users express emotions or seek emotional support.
Early methods include new survey tools and data analysis techniques to measure emotional well-being outcomes.
The research is exploratory and aims to set standards for studying AI's impact on user emotions.
Findings could inform how developers design emotionally aware AI systems.