Abstract
This study explores the long-term use of large language model (LLM)-based chatbots through in-depth qualitative interviews with 10 participants. The interviews were conducted using the Grounded Theory approach, and the transcripts were analyzed through open and axial coding to identify emerging categories and themes. To present the findings, Uses and Gratifications Theory (U&G) and Self-Determination Theory (SDT) were employed as explanatory frameworks. Results reveal that users adopt and continue using AI chatbots to satisfy a range of informational, social, and hedonic gratifications, while sustained engagement is closely linked to the fulfillment of psychological needs for autonomy, competence, and relatedness. The study contributes to the growing literature on human–AI interaction by demonstrating how individuals integrate chatbots into their everyday lives and also highlights new directions for future theoretical investigation.
Recommended Citation
Xie, Tianling; Pentina, Iryna; and Geroge, Benjamin, "Understanding Long-term Chatbot Users: Interview Insights" (2026). Digit 2025 Proceedings. 6.
https://aisel.aisnet.org/digit2025/6