Related papers: Longitudinal Study on Social and Emotional Use of AI Conversational Agent

Longitudinal Study on Social and Emotional Use of AI Conversational Agent

URL: http://arxiv.org/abs/2504.14112v1
Date: Sat, 19 Apr 2025 00:03:48 GMT
Title: Longitudinal Study on Social and Emotional Use of AI Conversational Agent
Authors: Mohit Chandra, Javier Hernandez, Gonzalo Ramos, Mahsa Ershadi, Ananya Bhattacharjee, Judith Amores, Ebele Okoli, Ann Paradiso, Shahed Warreth, Jina Suh,
Abstract summary: We studied the impact of four commercially available AI tools on users' perceived attachment towards AI and AI empathy.<n>Our findings underscore the importance of developing consumer-facing AI tools that support emotional well-being responsibly.
Score: 12.951074799361994
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Development in digital technologies has continuously reshaped how individuals seek and receive social and emotional support. While online platforms and communities have long served this need, the increased integration of general-purpose conversational AI into daily lives has introduced new dynamics in how support is provided and experienced. Existing research has highlighted both benefits (e.g., wider access to well-being resources) and potential risks (e.g., over-reliance) of using AI for support seeking. In this five-week, exploratory study, we recruited 149 participants divided into two usage groups: a baseline usage group (BU, n=60) that used the internet and AI as usual, and an active usage group (AU, n=89) encouraged to use one of four commercially available AI tools (Microsoft Copilot, Google Gemini, PI AI, ChatGPT) for social and emotional interactions. Our analysis revealed significant increases in perceived attachment towards AI (32.99 percentage points), perceived AI empathy (25.8 p.p.), and motivation to use AI for entertainment (22.90 p.p.) among the AU group. We also observed that individual differences (e.g., gender identity, prior AI usage) influenced perceptions of AI empathy and attachment. Lastly, the AU group expressed higher comfort in seeking personal help, managing stress, obtaining social support, and talking about health with AI, indicating potential for broader emotional support while highlighting the need for safeguards against problematic usage. Overall, our exploratory findings underscore the importance of developing consumer-facing AI tools that support emotional well-being responsibly, while empowering users to understand the limitations of these tools.

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