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相关概念视频

Factors Affecting Perception01:25

Factors Affecting Perception

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
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Subliminal Perception01:15

Subliminal Perception

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Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
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Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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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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Framing Effects03:26

Framing Effects

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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Nonconscious Mimicry01:13

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Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
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相关实验视频

Updated: Jul 19, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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微妙的对抗性图像操纵影响人类和机器的感知.

Vijay Veerabadran1,2, Josh Goldman1, Shreya Shankar1,3

  • 1Google, Mountain View, CA, USA.

Nature communications
|August 15, 2023
PubMed
概括

人工神经网络 (ANN) 是脆弱的,容易被对抗性干扰所欺骗. 人类的感知也对这些图像操纵很敏感,这表明了共同的潜在机制.

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科学领域:

  • 计算机视觉 计算机视觉
  • 认知科学 认知科学
  • 神经科学是一个神经科学.

背景情况:

  • 人工神经网络 (ANN),受到大脑的启发,表现出与人类感知不同的脆弱性.
  • ANN容易受到对抗性干扰,导致图像的错误分类.
  • 相比之下,人类的感知往往会将这种扰动视为文物.

研究的目的:

  • 调查人类对对抗性扰动的敏感性是否与ANN相似.
  • 探索驱动人类和ANN对对抗性示例的反应的潜在机制.

主要方法:

  • 呈现对抗性扰动,已知可以愚弄ANN,给人类观察者.
  • 分析人类选择行为,以应对扰乱的图像.
  • 在各种干扰中比较人类对ANN易受性的敏感性.

主要成果:

  • 欺骗ANN的敌对干扰也影响了人类的选择.
  • 人类对对抗性干扰的敏感性通过行为测量来证明.
  • 这种效应似乎是由高阶图像统计驱动的,而不是ANN架构.

结论:

  • 人类的感知与ANN分享对对抗性干扰的敏感性.
  • 自然图像的高阶统计是人类和ANN感知中的关键因素.
  • 这表明了生物和人工视觉处理的共同原则.