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Related Concept Videos

Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
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Factors Affecting Perception01:25

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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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Depth Perception and Spatial Vision01:15

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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.
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Perceptual Constancy01:12

Perceptual Constancy

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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.
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Encoding01:19

Encoding

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Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
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Related Experiment Video

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Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
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A general account of peripheral encoding also predicts scene perception performance.

Krista A Ehinger1, Ruth Rosenholtz2

  • 1Harvard Medical School and Brigham & Women's Hospital, Cambridge, MA, USAk.a.ehinger@gmail.com.

Journal of Vision
|November 29, 2016
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Summary

Scene perception may use the same visual encoding as object recognition and visual search. This suggests scene processing is not unique, challenging prior assumptions about specialized scene-processing mechanisms.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Computer Vision

Background:

  • Humans rapidly extract scene gist with single fixations.
  • Scene perception is often presumed to require unique processing, distinct from visual search or object recognition.

Purpose of the Study:

  • To investigate if a single encoding mechanism underlies both scene perception and other visual tasks.
  • To test if established encoding models for visual search predict scene perception performance.

Main Methods:

  • Participants performed navigation-relevant scene perception tasks (category, layout, location, objects) on outdoor scene photographs.
  • An encoding model, previously successful for object recognition and visual search, was applied to predict scene task performance.

Main Results:

  • The encoding model reasonably predicted performance on scene perception tasks.
  • This suggests scene perception may share underlying encoding mechanisms with visual search and crowded object recognition.
  • Alternative models of peripheral information processing also showed predictive power for scene tasks.

Conclusions:

  • Scene perception tasks may not be as unique as previously thought.
  • The findings support a unified encoding model across various visual perception tasks.
  • Scene tasks alone may be insufficient to differentiate between competing visual encoding models.