Effect of ChatGPT's Answering Style on Users' Acceptance in a Trip Planning Context

Jungkeun Kim, Seunghun Shin, Joo Young Kim, Chulmo Koo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This research examines the effect of the answering style of ChatGPT on users' acceptance in a trip planning context, where ChatGPT recommends a list of destinations. Focusing on two style factors (information structure: destinations are listed vs. explained; communication style: opening and ending remarks are present vs. absent), we examined how travelers' acceptance of ChatGPT's recommendation varied with its answering style based on the “Computers are Social Actors” paradigm, via three experiments. While the relationship between communication style and travelers' acceptance was not significant, that between information structure and acceptance was significant, travelers were more willing to visit the destinations recommended by ChatGPT when they were explained than when listed. Also, this research identified a mediator (perceived informativeness) and a moderator (travelers' familiarity with the destinations) of the relationship. As one of the earliest empirical studies regarding travelers' usage of ChatGPT, this study serves as a reference for future research.

Original languageEnglish
Article numbere2746
JournalInternational Journal of Tourism Research
Volume26
Issue number5
Early online date4 Sept 2024
DOIs
Publication statusPublished - Sept 2024

Keywords

  • ChatGPT
  • communication style
  • computers and social actors paradigm
  • destination recommendation
  • generative artificial intelligence

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Transportation
  • Tourism, Leisure and Hospitality Management
  • Nature and Landscape Conservation

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