The Decision to Verify: How Warmth and User Characteristics Shape Reliance on Conversational Agents for Information Search
Conversational artificial intelligence (AI) provides an efficient and convenient gateway to information access. However, it can cause overreliance when users blindly trust AI and accept its answers without fact-checking. Information search increasingly follows a hybrid interaction paradigm that combines conversational AI with web search, making fact-checking easier. In this paper, we examine whether this interaction paradigm is effective in curbing reliance. We further investigate the underlying factors (e.g., digital literacy and conversation warmth) that drive users to verify AI answers. We conduct a mixed-subjects question-answering experiment where participants interact with either a ...
| Authors | Mert Yazan, Frederik Bungaran Ishak Situmeang, Suzan Verberne |
|---|---|
| Primary category | cs.HC |
| Published | 27 May 2026 |
| Last updated at source | 27 May 2026 |
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