ChatGPT personalized and humorous recommendations
Jeong Hyun Kim,
Jungkeun Kim,
Tae Hyun Baek and
Changju Kim
Annals of Tourism Research, 2025, vol. 110, issue C
Abstract:
This study examines the impact of personalized and humorous responses generated by ChatGPT on the acceptance of and satisfaction with travel recommendations. Studies 1A, 1B, and 1C consistently indicate that visit intention and recommendation satisfaction were significantly higher when ChatGPT provided personalized rather than humorous responses. Study 2 investigates the effects of response type on visit intention and finds that recommendation satisfaction was not significant when participants were informed that the recommendation agent was human. Study 3 indicates that participants' usage experience with ChatGPT moderated the effects and that participants' need for cognition influenced their acceptance of personalized responses. Study 4 demonstrates different personalization methods from various sources, including preference-matching and tailored recommendation styles.
Keywords: ChatGPT; Travel recommendation; Personalization; Humor; Need for cognition (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160738324001348
Full text for ScienceDirect subscribers only
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:eee:anture:v:110:y:2025:i:c:s0160738324001348
DOI: 10.1016/j.annals.2024.103857
Access Statistics for this article
Annals of Tourism Research is currently edited by John Tribe
More articles in Annals of Tourism Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().