EconPapers    
Economics at your fingertips  
 

Giving AI a Human Touch: Highlighting Human Input Increases the Perceived Helpfulness of Advice from AI Coaches

Yue Zhang, Mirjam A. Tuk and Anne-Kathrin Klesse

Journal of the Association for Consumer Research, 2024, vol. 9, issue 3, 344 - 356

Abstract: How can we increase the acceptance of artificial intelligence (AI) coaching advice? Across five studies (N=3,780), we document that people perceive AI advice as more helpful if human input is (made) salient. Utilizing a naturalistic field setting, study 1 shows that the more students believe that an AI coach contains human input, the more helpful the advice is perceived to be. We find that highlighting human input as an intervention strategy increases the perceived helpfulness of AI advice in the context of photography, compared to various control conditions (study 2 and follow-up study in the appendix, available onlineappendix). Study 3 shows that the effect is mediated by an increased subjective understanding of AI feedback when human input is highlighted. Study 4 provides evidence through moderation and shows that the positive impact of highlighting human input disappears under low levels of subjective understanding.

Date: 2024
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1086/730710 (application/pdf)
http://dx.doi.org/10.1086/730710 (text/html)
Access to the online full text or PDF requires a subscription.

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:ucp:jacres:doi:10.1086/730710

Access Statistics for this article

More articles in Journal of the Association for Consumer Research from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().

 
Page updated 2025-03-20
Handle: RePEc:ucp:jacres:doi:10.1086/730710