Effect of Confidence Indicators on Trust in AI-Generated Profiles
被引:9
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作者:
Bruzzese, Tommy
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Stanford, CA 94305 USAStanford Univ, Stanford, CA 94305 USA
Bruzzese, Tommy
[1
]
Ding, Christina
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Stanford, CA 94305 USAStanford Univ, Stanford, CA 94305 USA
Ding, Christina
[1
]
Gao, Irena
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Stanford, CA 94305 USAStanford Univ, Stanford, CA 94305 USA
Gao, Irena
[1
]
Romanos, Alyssa
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Stanford, CA 94305 USAStanford Univ, Stanford, CA 94305 USA
Romanos, Alyssa
[1
]
Dietz, Griffin
论文数: 0引用数: 0
h-index: 0
机构:
Stanford Univ, Stanford, CA 94305 USAStanford Univ, Stanford, CA 94305 USA
Dietz, Griffin
[1
]
机构:
[1] Stanford Univ, Stanford, CA 94305 USA
来源:
CHI'20: EXTENDED ABSTRACTS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS
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2020年
关键词:
Artificial Intelligence-Mediated Communication (AI-MC);
Computer-Mediated Communication (CMC);
Artificial Intelligence;
Trust;
D O I:
10.1145/3334480.3382842
中图分类号:
TP3 [计算技术、计算机技术];
学科分类号:
0812 ;
摘要:
Artificial Intelligence (AI) is increasingly augmenting and generating online content, but research suggests that users distrust content which they believe to be AI-generated. In this paper, we study whether introducing a confidence indicator, a text rating of an algorithm's confidence in its source data alongside rationale for why the data is more or less trustworthy, affects this distrust in Airbnb host profiles believed to be computer-generated. Our results indicate that a low-confidence indicator decreases participant trust in the rental host, but high-confidence indicators have no significant impact on trust. These findings suggest that user trust of AI-generated content can be negatively, but not positively, affected by a confidence indicator.