arxivcs.HC2026-07-05
The User-In-Context Framework: Understanding Variation in How Users Respond to AI Chatbots
Richard A. Fabes, Carol Lynn Martin, Philip Costanzo
People respond to artificial intelligence chatbots (AICs) in highly variable ways. In this paper, we adapt Bronfenbrenner's theory into a heuristic framework for understanding this variation. The framework places the human user at the center while also placing the AI there and re…