How People Use Advice from Different AI Chatbots

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Authors: Maya Thamer-Nall, Michael E. W. Varnum, Kwan, Sau
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Abstract

Prior Data Collection (Study 1): Individual Differences Preliminary data were obtained in Fall 2025 from undergraduate student participants enrolled in a Personality Theory in Psychology course (N = 146 after exclusions for failed attention checks and incomplete responses). Students received 2% of their course grade as credit for their participation in Study 1. Study 1 measured individual differences in information transmission bias (prestige, conformity, self-similarity) perceptions of artificial intelligence (AI) large language model (LLM) generated content from ChatGPT. Participants also indicated their likelihood of use and trust in ChatGPT to provide advice on specific domains of information: career achievement, finances, dating, and safety goals. Current Data Collection (Study 2): Experimental Manipulation A second data collection in Spring 2026 will build upon individual difference findings from the Fall 2025 preliminary data. Undergraduate students at ASU enrolled in PSY 101 will receive .5 points of SONA credit for their participation in Study 2. Study 2 involves a between-subjects experimental manipulation with three conditions.

Fields of Study & Subjects

Social Robot Interaction and HRI AI in Service Interactions Ethics and Social Impacts of AI

Publication details

Publication date
1 January 2026
Document type
Preprint