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Kelly Crace

dblp:398/3512 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0004-9097-4059ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 77% Human-AI interaction · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › generative AI
generative AI chatbots
0.312025
Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support · CHI 2025

Methods — techniques the papers use, named apart from their topics

survey · 0.9mixed-method study · 0.9interviews · 0.9
YearPublicationVenuePosition
2025 Understanding Attitudes and Trust of Generative AI Chatbots for Social Anxiety Support
abstract
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.
Yinzhou Wang, Kelly Crace, Yixuan Zhang 0001
CHI3