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相关概念视频

Perceptual Constancy01:12

Perceptual Constancy

333
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
333
Factors Affecting Perception01:25

Factors Affecting Perception

1.5K
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...
1.5K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

523
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
523
Variability: Analysis01:11

Variability: Analysis

125
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
125
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

94
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
94
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

273
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...
273

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相关实验视频

Updated: May 29, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

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人们如何感知多功能对象的变化性?

Jinhyeok Jeong1, Sang Chul Chong2

  • 1The Graduate Program in Cognitive Science, Yonsei University.

Journal of experimental psychology. Human perception and performance
|February 6, 2025
PubMed
概括

人类通过使用多个特征来感知对象的变化,而不仅仅是单个特征. 空间布局影响特征的结合方式,建议用于集体感知的一般方差处理器.

科学领域:

  • 认知心理学 认知心理学
  • 视觉感知 视觉感知 视觉感知
  • 计算神经科学是一种计算神经科学.

背景情况:

  • 人类可以感知对象特征的总结统计数据.
  • 对于多特征对象的集体感知还没有完全理解.
  • 调查多个特征是如何集成的对于可变性判断至关重要.

研究的目的:

  • 调查多特征对象中对变性的整体感知.
  • 为了确定感知变化是否依赖于边际或联合分布.
  • 探索特征相关性和空间规律性的作用.

主要方法:

  • 参与者估计了不同方向和颜色的刺激的总体变异性.
  • 为了测试分布模型,操作了界面相关性.
  • 类似特征的空间安排是多样化的.

主要成果:

  • 大多数参与者都考虑了方向和颜色来估计变异性.
  • 界面相关性没有影响基于边际分布的感知变异性.
  • 空间规律调节的特征集成,减少特征相邻时的感知变化.

结论:

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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

Last Updated: May 29, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.4K
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

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11.8K
Cross-Modal Multivariate Pattern Analysis
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Cross-Modal Multivariate Pattern Analysis

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  • 多重特征信息有助于变化感知.
  • 感知可变性依赖于边际分布,而不是联合分布,除非存在空间规律.
  • 这些发现支持用于集体感知的域-通用方差处理器.