对自然主义和人工智能产生的情感图像的情感反应:一个系统的比较
Faith Gilbert1, Fan Yang2, Ethan Smith2
1Department of Psychology, University of Florida.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
人工智能 (AI) 产生的图像可以唤起与现实世界的图像相似的情感和生理反应. 这项研究表明,人工智能图像集是情感研究的一个有希望的工具,尽管效果略微弱.
科学领域:
- 心理学 心理学 心理学
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
背景情况:
- 情感图片集对于情感研究至关重要,但在多样性,质量和可访问性方面存在局限性.
- 人工智能 (AI) 为产生新型情感刺激提供了潜在的解决方案,但其在引起可靠情感反应方面的有效性尚未得到证实.
研究的目的:
- 将情感和生理反应与人工智能生成的图像与原始的标准化情感图像进行比较.
- 评估人工智能生成的图像在情感研究中的可靠性和有效性.
主要方法:
- 两次研究代涉及109名参与者查看标准化图片 (来自IAPS和其他来源) 并匹配AI生成的对应物.
- 使用瞳孔直径,脑电图 (EEG) 和 hedonic 价值和情绪兴奋的自我报告等级来测量情绪反应.
主要成果:
- 原始和人工智能生成的情感图片都比中性图片引起了更强烈的反应 (评分和EEG),而人工智能图像的效果尺寸较小.
- 匹配的AI和原始图像之间的相关性在评级和EEG措施中很强.
- 学生数据在第二次代中显示了内容效应,但不是第一个.
结论:
- 人工智能生成的图片集显示出诱导情感和生理反应的潜力,作为传统刺激的可行替代品.
- 需要进一步的研究来优化AI图像生成用于情感研究,并充分了解其功能.
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