Author ORCID Identifier
Semester
Spring
Date of Graduation
2026
Document Type
Dissertation
Degree Type
DBA
College
Chambers College of Business and Economics
Department
Marketing
Committee Chair
Julian Givi
Committee Member
Colleen Kirk
Committee Member
Paula Fitzgerald
Committee Member
Yuna Choe
Abstract
This study examines consumer anger in reaction to firms’ use of artificial intelligence (AI) to assist them in the completion of tasks. Specifically, we focus on instances when AI supplements rather than replaces human effort. Using cognitive appraisal theory and psychological contract constructs, this research investigates how the amount of effort consumers invest into a service review and the effort reciprocated by firms influences emotional reactions. Across two studies, using scenario-based experiments, we find that consumers report higher levels of anger when AI is used to aid in responding to high-effort reviews compared to low-effort reviews. The results suggest that consumers may view AI-assisted responses as a breach of social norms and psychological contracts in high-effort contexts. Consumers may also view this as a lack of acknowledgment of their effort. Firms should be wary of when and how they use AI while navigating social norms and task expectations in relational and high-effort tasks.
Recommended Citation
Martin, Jason Mickey, "AI-Assisted Task Completion: Consumer Sentiments by Effort Level" (2026). Graduate Theses, Dissertations, and Problem Reports. 13312.
https://researchrepository.wvu.edu/etd/13312