Trust Formation in AI Delegation: The Interplay of Explainability and Anthropomorphism

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Authors: Chenyang Li, Zhixuan Deng, Hao Ling, Xu ZHANG
Cited by: 1
References: 69

Abstract

As AI agents act on behalf of users, designers increasingly combine explainability (XAI) and anthropomorphism to build trust. Yet, whether these cues create synergy or interference remains a critical, open question. Our online experiment (N=900) revealed a counterintuitive interference effect: anthropomorphism reduced trust in an explainable agent. A preregistered lab study with eye-tracking (N=57) reversed this finding: under controlled conditions, the combined design elicited the highest trust. Eye-tracking reveals the mechanism: XAI promotes deeper cognitive engagement (e.g., longer fixations), which primes users to allocate attention to social cues (e.g., avatars). Our findings show that trust depends on cognitive engagement moderating social cue processing, yielding a critical design insight: effectively pairing explanatory and anthropomorphic interfaces requires first securing the user’s cognitive engagement to avoid undermining trust.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Social Robot Interaction and HRI Human-Automation Interaction and Safety

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–42
Publication date
13 April 2026