Exploring User Attitudes and Trust Toward ChatGPT as a Social Actor: A UTAUT-Based Analysis
Hwan-Ho Noh,
Hye Bin Rim and
Byung-Kwan Lee
SAGE Open, 2025, vol. 15, issue 2, 21582440251345896
Abstract:
Recent advancements in artificial intelligence (AI) have transformed consumer services with technologies such as AlphaGo surpassing human capabilities. OpenAI’s ChatGPT positioned AI as a social actor. This study examines ChatGPT’s natural language prowess using AI from the perspective of social actors. We investigated user attitudes through the Unified Theory of Acceptance and Use of Technology (UTAUT) while employing the stereotype content model to assess ChatGPT’s portrayal as a social actor. Trust is an important factor when considering ChatGPT as a social actor. Our model validation revealed that “performance expectancy and facilitating conditions†significantly impacted ChatGPT evaluation, “social influence†affected usage intentions, and “effort expectancy†had no significant effect. In the stereotype content model, warmth and competence significantly influenced trust and performance expectations. Trust in the ChatGPT emerged as the main predictor of the evaluation. The study concludes with a discussion of the implications, accounting for differences in user experience (UX).
Keywords: artificial intelligence; chatbot; ChatGPT; stereotype content model; trust; UTAUT (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/21582440251345896 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:15:y:2025:i:2:p:21582440251345896
DOI: 10.1177/21582440251345896
Access Statistics for this article
More articles in SAGE Open
Bibliographic data for series maintained by SAGE Publications ().