通过人工神经网络对视觉刺激"深度梦想"的人类情绪反应的评估
Agnieszka Marczak-Czajka1, Timothy Redgrave1, Mahsa Mitcheff1
1Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, United States.
Frontiers in psychology
|January 8, 2025
概括
人工神经网络 (ANN) 可以创建影响情绪的图像. 研究人员发现特定的图像特征和人工神经网络 (ANN) 层激活预测了情绪反应,使情绪调节视觉刺激成为可能.
科学领域:
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
- 心理学 心理学 心理学
背景情况:
- 由人工神经网络 (ANN) 合成的视觉刺激可以唤起情绪反应.
- 连接ANN图像合成方法与情绪反应的精确机制尚未完全理解.
- 了解这些机制可能会导致心理健康的治疗工具.
研究的目的:
- 研究ANN合成的视觉刺激与人类情绪反应之间的关系.
- 识别与情感兴奋和价值相关的图像视觉特性和ANN参数.
- 探索创造情绪调节视觉刺激的潜力.
主要方法:
- 卷积神经网络 (CNN) 用于通过在特定层中最大限度地激活神经元来合成图像.
- 150名受试者使用SAM数据自我报告了情绪反应 (兴奋和价值).
- 分析了情绪反应,图像视觉特性 (色调,亮度,杂乱,) 和CNN层激活之间的相关性.
主要成果:
- 在某些CNN层中最大限度地激活产生的图像引发了显著不同的兴奋和价值水平.
- 图像特征如色调,特征拥堵和子频段预测了兴奋.
- 在全球图像特征和测量的价值之间没有发现显著的相关性.
结论:
- 使用CNN的特定图像合成方法可以创建调节情绪反应的视觉刺激.
- 这种方法可能会导致管理压力的非侵入性工具,改善情绪,并补充心理健康疗法.
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