Reluctant to Ask a Human-ish Chatbot? When Anthropomorphic Cues Help and When They Backfire

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Authors: Yongwoog Andrew Jeon, Devaki Rau, Matthew D. Pickard, Biagio Palese
Cited by: 0
References: 43

Abstract

How do students, especially marketing students, with their diverse cultural values and expectations about authority, respond when technological tools such as chatbot assistants attempt to mimic a human instructor? Across two experimental studies, we examine how the effects of human-likeness in chatbot assistants (anthropomorphization) depend on students’ values. Challenging the assumption that adding humanlike features to AI is inherently desirable, results from Study 1 find that the presence of humanlike cues in chatbot assistants does not universally enhance perceptions of human-likeness. Instead, students high in power distance orientation i.e. those who are more accepting of hierarchical relationships, perceive anthropomorphic chatbots as less human-like than non-anthropomorphic chatbots. This backfiring effect was more pronounced among marketing students compared to non-marketing students. Study 2 builds on these findings by analyzing real-time student interactions with a custom-built chatbot. While perceived human-likeness increases engagement and subsequently improves attitudes toward use, students with high conformity to authority ask significantly fewer questions when the chatbot appears highly humanlike. These findings reveal a novel cultural boundary condition for effective student interactions with humanlike technology: when students value deference to authority, humanlike bots may inhibit rather than enhance student engagement with chatbots.

Fields of Study & Subjects

AI in Service Interactions Social Robot Interaction and HRI Intelligent Tutoring Systems and Adaptive Learning

Publication details

Journal / source
Marketing Education Review
Pages
1–20
Publication date
4 February 2026
Language
EN