违反直觉
心理学
认知
认知心理学
社会心理学
社会认知
社会认知理论
认知负荷
社交暗示
打开数据
社会关系
社会认知
集合(抽象数据类型)
动机推理
认知系统
印象形成
情感(语言学)
认知科学
作者
Chenyang Li,Zhixuan Deng,Hao Ling,Xu Zhang
标识
DOI:10.1145/3772318.3793215
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI