EconPapers    
Economics at your fingertips  
 

Imperfectly Human: The Humanizing Potential of (Corrected) Errors in Text-Based Communication

Shirley Bluvstein, Xuan Zhao, Alixandra Barasch and Juliana Schroeder

Journal of the Association for Consumer Research, 2024, vol. 9, issue 3, 332 - 343

Abstract: Today more than ever before, online text-based interactions have become a common means of communication between consumers and companies. But with the advent of AI-powered chatbots, customers sometimes struggle to ascertain the humanness of their online interaction partners (e.g., customer service agents). The current research investigates the humanizing potential of one common feature in text communication—typographical errors (“typos”). Across five experiments reported in the main text, two supplementary experiments, and pilot data (total N=3,399), participants perceived customer service agents who made and subsequently corrected a typo to be more human—and more helpful—than agents who made no typos or made but did not correct a typo. These findings provide novel insights into how conversational features influence customers’ perceptions of online agents. In an era where AI frequently surpasses human performance in a variety of domains, consumers may perceive the act of making (and correcting) errors to be a hallmark of humanness.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1086/728412 (application/pdf)
http://dx.doi.org/10.1086/728412 (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:10.1086/728412

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:10.1086/728412