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相关概念视频

Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Fundamental Attribution Error01:14

Fundamental Attribution Error

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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The Representativeness Heuristic02:13

The Representativeness Heuristic

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The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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Hindsight Biases01:12

Hindsight Biases

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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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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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The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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相关实验视频

Updated: Sep 13, 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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在场景分类任务中,外围的过度自信.

Nino Sharvashidze1,2, Matteo Toscani3,4, Matteo Valsecchi1,5

  • 1Dipartimento di Psicologia, Università di Bologna, Bologna, Italy.

Journal of vision
|August 1, 2025
PubMed
概括
此摘要是机器生成的。

视觉信心,或元感知,偏向于视野的中心. 这项研究表明,在场景分类任务中,外围视觉过度自信,与外围视觉保持一致.

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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相关实验视频

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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科学领域:

  • 神经科学是一个神经科学.
  • 认知心理学 认知心理学
  • 视觉感知 视觉感知 视觉感知

背景情况:

  • 视觉感知和检测能力在视野中各不相同.
  • 超感知,或视觉信心,显示了关于外围准确性的混合结果.
  • 之前的研究报告过度信任外围检测和缺乏信任外围取向歧视.

研究的目的:

  • 为了调查元感知是否与外围视觉在快速场景分类中的优势一致.
  • 为了确定是否过度自信发生在外围视觉的全球场景任务.
  • 检查任务类型对外周视觉中的元感知偏差的影响.

主要方法:

  • 参与者进行了快速的场景分类 (沙漠,沙,山,森林) 在外围 (scotoma) 或中心 (窗口).
  • 任务的难度是通过调整视瘤和窗口的大小来操纵的.
  • 在中央和边缘观看条件之间比较了信任判断.

主要成果:

  • 精度在较大的视镜瘤下降,在较大的窗口上增加.
  • 参与者表现出对边缘场景分类的过度信心,将同等信心点转移到中心表演.
  • 在从局部歧视转向全球场景分类任务时,元认知偏差反转.

结论:

  • 超认知判断或视觉信心似乎反映了外围视觉固有的能力和约束.
  • 边缘视觉在全球信息处理中的强度,而不是细节歧视,影响了元感知偏差.
  • 在利用其全球处理优势的任务中,外围地区的过度信心可能会出现.