Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support

要旨

Social anxiety (SA) has become increasingly prevalent. Traditional coping strategies often face accessibility challenges. Generative AI (GenAI), known for their knowledgeable and conversational capabilities, are emerging as alternative tools for mental well-being. With the increased integration of GenAI, it is important to examine individuals' attitudes and trust in GenAI chatbots' support for SA. Through a mixed-method approach that involved surveys (n = 159) and interviews (n = 17), we found that individuals with severe symptoms tended to trust and embrace GenAI chatbots more readily, valuing their non-judgmental support and perceived emotional comprehension. However, those with milder symptoms prioritized technical reliability. We identified factors influencing trust, such as GenAI chatbots' ability to generate empathetic responses and its context-sensitive limitations, which were particularly important among individuals with SA. We also discuss the design implications and use of GenAI chatbots in fostering cognitive and emotional trust, with practical and design considerations.

著者
Yimeng Wang
William & Mary, Williamsburg, Virginia, United States
Yinzhou Wang
William & Mary, Williamsburg, Virginia, United States
Kelly Crace
University of Virginia, Charlottesville, Virginia, United States
Yixuan Zhang
William & Mary, Williamsburg, Virginia, United States
DOI

10.1145/3706598.3714286

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714286

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Using AI or Not

G314+G315
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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