我们是否像我们自己一样看待机器人? 使用EEG检查机器人面部处理
Xaviera Pérez-Arenas1, Álvaro A Rivera-Rei1, David Huepe1
1Center for Social and Cognitive Neuroscience, School of Psychology, Universidad Adolfo Ibáñez, Diagonal Las Torres 2640, Peñalolén 80305, Chile.
Brain sciences
|January 28, 2026
概括
人类大脑处理机器人面孔不同于人类面孔,显示出不同的神经活动模式. 这项研究提供了对人机交互和认知影响的见解.
科学领域:
- 神经科学是一个神经科学.
- 人与计算机的交互
- 认知科学 认知科学
背景情况:
- 有效的情感面部处理对于社会互动至关重要.
- 人与机器人的互动越来越多,需要了解机器人面部的神经反应.
- 有限的神经生理学研究存在于机器人与人类面部的大脑解码.
研究的目的:
- 通过与事件相关的潜能 (ERP) 来研究处理机器人与人类情感面部的神经相关性.
- 为了比较由快乐和中立的人类和机器人面孔引起的大脑活动.
- 在面部感知过程中探索早期和晚期皮质组件的差异.
主要方法:
- 利用与事件相关的潜力 (ERP) 进行神经相关性检查.
- 通过人类和机器人刺激进行了情感面部分类任务.
- 分析了 ERP 组件 P100,N170,P300 和 P600 的振幅.
- 在ERP波形上进行了质量单变量分析.
主要成果:
- 与人脸相比,机器人面孔在早期 (P100,N170) 和后期 (P300) ERP组件中引起了增加的振幅.
- 在中期潜伏期和晚期皮质成分 (P300,P600) 中观察到情绪价值差异.
- 结果与面部处理的双阶段模型保持一致.
结论:
- 机器人面孔与人类面孔相比,引起了不同的神经处理,特别是在早期的感官阶段.
- 面部的情感处理发生在较晚的认知阶段,不管面部是人还是机器人.
- 这项研究为设计社交机器人和理解它们的认知影响提供了关键的见解,特别是在大脑健康应用中.
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