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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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相关实验视频

Updated: Jul 11, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

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机器人职业影响了人类和机器人面孔之间的分类边界.

Junyi Shen1, Guyue Tang1, Shinichi Koyama2

  • 1University of Tsukuba, Graduate School of Comprehensive Human Sciences, Tsukuba, 305-8574, Japan.

Scientific reports
|November 7, 2023
PubMed
概括
此摘要是机器生成的。

机器人的职业影响着类似人类的人如何看待机器人,影响了人类和人工面孔之间的感知边界. 这种看法与职业刻板印象有关,可以加强基于外表的偏见.

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科学领域:

  • 人与机器人的交互
  • 认知心理学 认知心理学
  • 机器人技术 机器人技术 机器人技术

背景情况:

  • 诡异的山谷假设在人类和机器人的外表之间设定了一个明显的界限.
  • 在机器人职业中感知到的人类形象主义和机器人-人类边界的一致性尚未得到充分理解.

研究的目的:

  • 调查不同机器人的职业如何影响人与机器人的边界.
  • 分析机器人工作角色对人类形象主义判断的影响.

主要方法:

  • 产生的变形图像混合机器人和人类的面孔在不同的比例.
  • 在不同的机器人职业条件下利用了三个图像分类任务.
  • 确定主观平等的点来量化机器人-人类边界.

主要成果:

  • 机器人职业显著影响了人们对人类形象的看法.
  • 参与者的年龄和性别也在感知中发挥了作用.
  • 研究结果表明,机器人工作与外表之间存在隐性联系,受刻板印象的影响.

结论:

  • 机器人职业可以改变机器人被认为与人类相似的感知.
  • 将预期的外表分配给机器人可能会强化将外表与工作角色联系在一起的刻板印象.
  • 了解这些感知对于设计社会可接受的机器人至关重要.