A 2x2 between-subjects experiment finds contextualization lowers AI persuasiveness but warmth restores it through crossover interaction, with reliance invariant to design, trust predicting outcomes independently, and AI literacy decoupling trust from behavior.
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An experiment finds that overreliance on chatbots persists in hybrid AI-plus-web-search setups and is driven primarily by user characteristics rather than answer properties, with warmth increasing agreement on incorrect answers.
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Personalized to Persuade: The Effects of Contextualization and Warmth on Trust and Reliance in Conversational AI
A 2x2 between-subjects experiment finds contextualization lowers AI persuasiveness but warmth restores it through crossover interaction, with reliance invariant to design, trust predicting outcomes independently, and AI literacy decoupling trust from behavior.
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The Decision to Verify: How Warmth and User Characteristics Shape Reliance on Conversational Agents for Information Search
An experiment finds that overreliance on chatbots persists in hybrid AI-plus-web-search setups and is driven primarily by user characteristics rather than answer properties, with warmth increasing agreement on incorrect answers.