面部阻塞和基线校正塑造了情感计算对情感-行为关系的检测
Anna Shepelenko1, Vladimir Kosonogov2, Anna N Shestakova1
1Institute for Cognitive Neuroscience, HSE University, Moscow, Russia.
Frontiers in psychology
|March 2, 2026
概括
通过消除面部障碍和应用基线校正,提高了对决情绪测量的情感计算 (AC) 准确性. 最佳条件增强了交流电的作用.
科学领域:
- 心理学 心理学 心理学
- 计算机科学 计算机科学
- 人与计算机的交互
背景情况:
- 情感计算 (AC) 越来越多地用于研究决策中的情绪.
- 在捕捉自发情绪和它们的行为相关性方面,AC的方法学有效性受到争议.
- 面部阻塞和基线校正对AC精度的影响尚不清楚.
研究的目的:
- 评估基于AC的面部情绪测量在慈善决策中的预测有效性.
- 为了比较AC (FaceReader) 与电肌学 (EMG) 和自我报告 (SR) 的测量.
- 检查面部阻塞和基线校正对AC精度的影响.
主要方法:
- 参与者 (N=88) 查看了狗的图像并进行了捐赠.
- 使用FaceReader (FR) 记录了面部表情.
- 第1组 (n=43) 也有EMG电极;第2组 (n=45) 没有. FR结果与EMG和SR措施进行了比较,分析了阻碍和基线校正的影响.
主要成果:
- 面部阻塞 (EMG电极) 降低了交流精度.
- 基线校正改善了FR和SR情绪之间的趋同,并加强了情绪捐赠链接.
- 更强烈的负面情绪与更高的捐赠相关;与捐赠相关的FR价值和幸福感,特别是没有障碍.
结论:
- 在最佳条件下,AC可以捕捉到与EMG和SR相似的情绪-行为关系.
- 面部阻塞降低了AC精度,而基线校正则提高了它.
- 障碍和基线校正等方法学因素对于多式联动情绪研究至关重要.
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