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Distributed attention model of perceptual averaging
- Source :
- Attention, Perception, & Psychophysics. 82:63-79
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- The visual system efficiently processes complex and redundant information in a scene despite its limited capacity. One strategy for coping with the complexity and redundancy of a scene is to summarize it by using average information. However, despite its importance, the mechanism of averaging is not well understood. Here, a distributed attention model of averaging is proposed. Human percept for an object can be disturbed by various sources of internal noise, which can occur either before (early noise) or after (late noise) forming an ensemble perception. The model assumes these noises and reflects noise cancellation by averaging multiple items. The model predicts increased precision for more items with decelerated increments for large set-sizes resulting from late noise. Importantly, the model incorporates mechanisms of attention, which modulate each item's contribution to the averaging process. The attention in the model also results in saturation of performance increments for small set-sizes because the amount of attention allocated to each item is greater for small set-sizes than for large set-sizes. To evaluate the proposed model, a psychophysical experiment was conducted in which observers' ability to discriminate average sizes of two displays was measured. The observers' averaging performance increased at a decreasing rate with small set-sizes and it approached an asymptote for large set-sizes. The model accurately predicted the observed pattern of data. It provides a theoretical framework for interpreting behavioral data and leads to an understanding of the characteristics of ensemble perception.
- Subjects :
- Linguistics and Language
Computer science
media_common.quotation_subject
Experimental and Cognitive Psychology
050105 experimental psychology
Language and Linguistics
03 medical and health sciences
0302 clinical medicine
Perception
Adaptation, Psychological
Psychophysics
Reaction Time
Humans
Limited capacity
Attention
0501 psychology and cognitive sciences
Active noise control
media_common
business.industry
05 social sciences
Internal noise
Pattern recognition
Attention model
Sensory Systems
Behavioral data
Visual Perception
Artificial intelligence
Asymptote
Percept
Noise
business
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 1943393X and 19433921
- Volume :
- 82
- Database :
- OpenAIRE
- Journal :
- Attention, Perception, & Psychophysics
- Accession number :
- edsair.doi.dedup.....048397ee9bd6f34535ec9625e493614e