人工智能图像与真实照片:研究视觉识别和感知
Veslava Osińska1, Weronika Kortas1, Adam Szalach2
1Institute of Information and Communication Research, Nicolaus Copernicus University, 87-100 Toruń, Poland.
Journal of eye movement research
|November 24, 2025
概括
人工智能生成的图像越来越真实,但人类的感知有所不同. 这项研究发现,基于性别和数字图形知识,识别人工智能与真实图像存在显著差异.
科学领域:
- 计算机视觉 计算机视觉
- 人与计算机的交互
- 认知心理学 认知心理学
背景情况:
- 人工智能 (AI) 算法的进步导致了高度摄影现实性的生成图像.
- 这些人工智能生成的图像往往无法与未经训练的眼睛区分出真实的照片.
- 了解人类对人工智能产生的内容的看法对于开发和应用至关重要.
研究的目的:
- 评估人类对人工智能生成的图像与真实照片的感知.
- 研究各种图像类别 (建筑,艺术,面孔,汽车,景观,物) 的视觉感知差异.
- 分析受访者人口统计 (性别) 和人工智能图形知识对图像识别的影响.
主要方法:
- 对12张人工智能生成的图像和12张真实照片进行比较分析.
- 利用眼睛追踪技术记录眼神模式和视觉注意力.
- 在实验后收集了参与者对其识别推理的主观反.
主要成果:
- 人工智能生成的物图像和真实的建筑照片是最容易识别的.
- 在性别之间观察到视觉感知的显著差异.
- 具有数字图形经验的个人,包括AI图像知识,表现出不同的感知模式.
结论:
- 人类对人工智能生成图像的感知受到图像类别,性别和先前的人工智能图形专业知识的影响.
- 人工智能开发人员应该考虑这些感知差异,以改善人工智能图像生成和用户体验.
- 最终用户从了解这些细微差别来区分人工智能生成的内容中受益.
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