EconPapers    
Economics at your fingertips  
 

Pathways linking expectations for AI chatbots to loyalty: A moderated mediation analysis

Xintong Yao and Yipeng Xi

Technology in Society, 2024, vol. 78, issue C

Abstract: Despite the prevalence of generative AI chatbots such as GPT and Bard, scholarly inquiry into how users' enduring expectations influence their engagement with AI chatbots remains scant. Drawing on expectation violation theory, the present study examines how user expectations, informed by belief in machine heuristics and concerns over human uniqueness, impact chatbot loyalty through a moderated mediation framework. A questionnaire survey of 900 participants in China revealed that belief in machine capabilities bolsters users' perceptions of machine intelligence, which in turn, enhances user loyalty. Interestingly, when users encounter service failures that challenge their expectations, their perceived intelligence of the chatbot intensifies rather than diminishes. In contrast, expectations shaped by human uniqueness concerns diminish users' perceptions of machine intelligence and, consequently, their loyalty, which remains consistent regardless of the encounter with AI failure. The study also delves into the theoretical contributions of these findings to the evolution of expectation violation theory within the sphere of human-robot interaction.

Keywords: AI; Chatbot; Expectation violation; Machine heuristic; Human uniqueness; ChatGPT (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X24001738
Full text for ScienceDirect subscribers only

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:eee:teinso:v:78:y:2024:i:c:s0160791x24001738

DOI: 10.1016/j.techsoc.2024.102625

Access Statistics for this article

Technology in Society is currently edited by Charla Griffy-Brown

More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:teinso:v:78:y:2024:i:c:s0160791x24001738