How Does Generative AI Relate to Leisure Satisfaction and Awareness?

2025/02/21 by Yu Li, Lianping Ren, Hanqin Qiu +2 · 1 citation
Psychology · Social Sciences · #Artificial intelligence #Cognitive psychology #Computer science #Digital Marketing and Social Media #Diverse Aspects of Tourism Research #Generative grammar #Leisure activity #Leisure satisfaction #Psychology #Recreation, Leisure, Wilderness Management #Social psychology #Sociology

paper · doi:10.1080/01490400.2025.2467966

crossref issued 2025/02/21 · crossref published 2025/02/21 · crossref published-online 2025/02/21 · openalex publication_date 2025/02/21 · crossref created 2025/02/21 · crossref deposited 2025/02/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05 · crossref indexed 2026/08/05

Abstract

This study aims to explore the antecedents and consequences of users’ leisure satisfaction with ChatGPT based on the uses and gratifications theory (UGT). Quantitative methods were employed to analyze data from 500 valid responses. The measurement model was assessed using confirmatory factor analysis (CFA) and structural equation modeling (SEM) was used to test the hypotheses. The findings suggest that leisure satisfaction primarily stems from informativeness as well as social and heuristic gratification. Leisure satisfaction with ChatGPT significantly influences leisure awareness. Satisfied users show supportive attitudes toward Generative AI’s future development and strong intentions for multiple-purpose usage. As one of the first studies on Generative AI in leisure practice, this research theoretically extends the UGT framework to the ChatGPT-based leisure context and confirms ChatGPT’s role in influencing leisure satisfaction and awareness, while also raising concerns based on the findings to help practitioners maximize benefits and mitigate potential drawbacks.

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Cited by

• More Connected, Less Connection: Belonging, Leisure, and Artificial Intelligence

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