Asymmetries in visual search: an introduction.
TL;DR: Four of the eight papers in this symposium inPerception & Psychophysics deal with the use of search asymmetries to identify stimulus attributes that behave as basic features in this context, and another two deals with the long-standing question of whether a novelty can be considered to be a basic feature.
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Abstract: In visual search tasks, observers look for a target stimulus among distractor stimuli. A visual search asymmetry is said to occur when a search for stimulus A among stimulus B produces different results from a search for B among A. Anne Treisman made search asymmetries into an important tool in the study of visual attention. She argued that it was easier to find a target that was defined by the presence of a preattentive basic feature than to find a target defined by the absence of that feature. Four of the eight papers in this symposium inPerception & Psychophysics deal with the use of search asymmetries to identify stimulus attributes that behave as basic features in this context. Another two papers deal with the long-standing question of whether a novelty can be considered to be a basic feature. Asymmetries can also arise when one type of stimulus is easier to identify or classify than another. Levin and Angelone’s paper on visual search for faces of different races is an examination of an asymmetry of this variety. Finally, Previc and Naegele investigate an asymmetry based on the spatial location of the target. Taken as a whole, these papers illustrate the continuing value of the search asymmetry paradigm.
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Angel Pino
- 16 Feb 2023
TL;DR: The view that perception is constitutively iconic, nonconceptual, and nonpropositional is far from new, having been debated pro and con for many years, with many philosophers and many scientists on both sides of the debate as mentioned in this paper .
References
A feature-integration theory of attention
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TL;DR: A new hypothesis about the role of focused attention is proposed, which offers a new set of criteria for distinguishing separable from integral features and a new rationale for predicting which tasks will show attention limits and which will not.
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•Journal Article
Controlled and Automatic Human Information Processing: 1. Detection, Search, and Attention.
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