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注册报告:重复是否会增加人工智能生成图像的可信度?
Guy Grinfeld1, Jonas De Keersmaecker2, Arne Roets3
1School of Psychological Sciences, Tel Aviv University.
概括
对图像的反复暴露,无论是真实的还是人工智能生成的,都会增加它们所感知的可信性. 这种重复效应可以推动在线视觉错误信息的传播.
科学领域:
- 认知心理学 认知心理学
- 数字媒体研究 数字媒体研究
- 信息科学 信息科学 信息科学
背景情况:
- 数字图像广泛使用,人工智能生成的图像带来了信誉挑战.
- 众所周知,重复可以提高书面和口头信息的可信度.
研究的目的:
- 调查重复效应是否适用于视觉信息.
- 确定图像真实性 (真实与人工智能生成) 是否会影响重复效应对可信度.
主要方法:
- 参与者观看了真实和人工智能生成的图像.
- 在暴露于重复和新图像后,评估了可信度.
- 该研究检查了具有低可变性的多种图像类别.
主要成果:
- 重复的图像总是被认为比新图像更可信.
- 这种效应对真实和人工智能生成的图像都适用.
- 在不同的图像类型中,重复效应是强大的.
结论:
- 仅仅暴露在图像中,无论其真实性如何,都会增加它们的可信度.
- 重复效应可能是传播视觉错误信息的关键机制.
- 需要进一步的研究来了解这种图像效应的认知基础.
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