AI-generated recommendations : roles of language style, perceived AI human-likeness, and recommendation agent
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.
Publication Details
- Journal
- Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.17868/strath.00091851
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00