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解释人工智能生成的与人类制造的图像
Daniela Velásquez-Salamanca1, Miguel Ángel Martín-Pascual2, Celia Andreu-Sánchez3
1Máster Universitario en Contenidos de Comunicación Audiovisual y Publicidad (MUCAP), Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.
Journal of imaging
|July 25, 2025
概括
人们很难识别人工智能生成的图像,经常把它们误认为是人造的. 这种无法辨别图像来源的影响对现实主义和可信度的判断,人造视觉图像被认为更有利.
科学领域:
- 计算机视觉 计算机视觉
- 人与计算机的交互
- 媒体研究 媒体研究
背景情况:
- 人工智能产生的内容的扩散需要了解它对观众感知的影响.
- 区分人工智能产生的图像和人类制造的图像正变得越来越具有挑战性.
- 目前的研究缺乏关于图像来源如何影响解释和评估的全面数据.
研究的目的:
- 调查图像的起源 (人工智能生成与人造) 是否影响其解释.
- 探索视觉专业化在评估人工智能产生的和人造图像中的作用.
- 根据图像来源评估观众对现实主义和可信度的看法.
主要方法:
- 161名参与者 (71名视觉专业人士,90名非专业人士) 评估了24张人工智能生成的图像和8张人类制造的图像.
- 图像评估包括来源识别,感知现实主义和归因可信度.
- 对于每个评价标准,收集了5152个回答中的数据.
主要成果:
- 与人工智能生成的图像相比,人类制造的图像更准确地被识别为这样的图像.
- 人工智能生成的图像经常被错误地归类为由人类制造的参与者.
- 人造图像在现实性和可信度方面比人工智能生成的图像获得更高的评分.
结论:
- 个人在确定图像的来源时表现出有限的准确性 (人工智能与人造).
- 不准确的来源识别显著影响视觉内容的可信度.
- 视觉专业人士和非专业人士都在与来源归因作斗争,影响图像评估.
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