AI-generated recommendations: roles of language style, perceived AI human-likeness, and recommendation agent

Tae Hyun Baek, Hyoje Kim, Jungkeun Kim*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
4 Downloads (Pure)

Abstract

This research investigated the impact of linguistic styles on the acceptance of artificial intelligence (AI)-generated recommendations, using three experiments. Specifically, we considered the use of figurative versus literal language in ChatGPT. The findings of Study 1 indicated that figurative language positively affects visit intention, with imagery vividness serving as a mediator in the underlying process. Study 2 revealed that the effect of figurative language on ChatGPT recommendations was stronger for those who perceived the AI as human-like. Conversely, Study 3 showed that while the figurative language used by ChatGPT significantly boosted visit intention compared with literal language, this enhancement was less pronounced when recommendations were made by a human agent.
Original languageEnglish
Article number104106
Number of pages13
JournalInternational Journal of Hospitality Management
Volume126
Early online date18 Jan 2025
DOIs
Publication statusPublished - 1 Apr 2025

Funding

This paper was supported by SKKU Academic Research Support Program, Sungkyunkwan University, 2024.

Keywords

  • figurative language
  • generative AI
  • ChatGPT
  • travel destination recommendations
  • AI human-likeness
  • recommendation agent

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