Abstract
How does one find objects in scenes? For decades, visual search models have been built on experiments in which observers search for targets, presented among distractor items, isolated and randomly arranged on blank backgrounds. Are these models relevant to search in continuous scenes? This article argues that the mechanisms that govern artificial, laboratory search tasks do play a role in visual search in scenes. However, scene-based information is used to guide search in ways that had no place in earlier models. Search in scenes might be best explained by a dual-path model: a 'selective' path in which candidate objects must be individually selected for recognition and a 'nonselective' path in which information can be extracted from global and/or statistical information.
Original language | English |
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Pages (from-to) | 77-84 |
Number of pages | 8 |
Journal | Trends in Cognitive Sciences |
Volume | 15 |
Issue number | 2 |
Early online date | 10 Jan 2011 |
DOIs | |
Publication status | Published - Feb 2011 |
Bibliographical note
Copyright © 2010 Elsevier Ltd. All rights reserved.Keywords
- Discrimination (Psychology)
- Exploratory Behavior
- Eye Movements
- Humans
- Pattern Recognition, Visual
- Problem Solving
- Visual Pathways
- Visual Perception