Through the Looking-Glass: AI-Mediated Video Communication Reduces Interpersonal Trust and Confidence in Judgments
作者
Authors
Nelson Navajas Fernández|Jeffrey T. Hancock|Maurice Jakesch
期刊
Journal
暂无期刊信息
年份
Year
2026
分类
Category
国家
Country
德国Germany
📝 摘要
Abstract
AI-based tools that mediate, enhance or generate parts of video communication may interfere with how people evaluate trustworthiness and credibility. In two preregistered online experiments (N = 2,000), we examined whether AI-mediated video retouching, background replacement and avatars affect interpersonal trust, people's ability to detect lies and confidence in their judgments. Participants watched short videos of speakers making truthful or deceptive statements across three conditions with varying levels of AI mediation. We observed that perceived trust and confidence in judgments declined in AI-mediated videos, particularly in settings in which some participants used avatars while others did not. However, participants' actual judgment accuracy remained unchanged, and they were no more inclined to suspect those using AI tools of lying. Our findings provide evidence against concerns that AI mediation undermines people's ability to distinguish truth from lies, and against cue-based accounts of lie detection more generally. They highlight the importance of trustworthy AI mediation tools in contexts where not only truth, but also trust and confidence matter.
📊 文章统计
Article Statistics
基础数据
Basic Stats
455
浏览
Views
0
下载
Downloads
5
引用
Citations
引用趋势
Citation Trend
阅读国家分布
Country Distribution
阅读机构分布
Institution Distribution
月度浏览趋势
Monthly Views