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机器人参与面部处理的程度不如人类那么强烈

Ali Momen^1,2, Kurt Hugenberg³, Eva Wiese^2,4

¹Warfighter Effectiveness Research Center, United States Air Force Academy, Colorado Springs, CO, United States.

Frontiers in neuroergonomics

|January 18, 2024

概括

机器人面部的处理不像人类面部那么多,显示了减少的反转效应. 这表明机器人面部设计需要仔细考虑有效的人机交互.

科学领域:

认知神经科学认知神经科学
人与机器人的交互 (HRI)
机器人技术机器人技术机器人技术

背景情况:

人类面部会吸引特殊的社会大脑区域,如形面部区域 (FFA) 和上面 (STS).
机器人面部特征和空间布局的差异可能导致与人类面部相比,社交处理较少.
这可能会导致外部群体的同质性,错误校准的信任,以及在人机交互中的任务分配中的错误.

研究的目的:

为了调查机器人面孔是否比人类面孔处理的方式不那么社交.
用面部反转范式作为神经激活的代理来检查面部处理中的差异.

主要方法:

该研究采用了面部倒置范式,比较直立与倒置的人类和机器人面部的识别性能.
对两种刺激类型都测量了反转效应 (反转面部的识别减少).

主要成果:

与人类面孔相比,机器人面孔的面部反转效应减少.
这一发现支持了机器人面孔被人类大脑以不太像面孔的方式处理的假设.

结论:

机器人面孔的处理方式似乎不同,与人类面孔相比,它们的社交大脑机制的参与程度较小.
机器人学家应该优先考虑机器人面部设计,有效地利用典型的面部处理机制来改善人机交互.

关键词:

人类形象主义 (anthropomorphism) 是一种人类形象主义.面部处理面部处理人类代理互动互动人与机器人的互动社会认知 (social cognition) 是一种社会认知.

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