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Searching for unity: Real-world versus item-based visual search in age-related eye disease

Published online by Cambridge University Press:  24 May 2017

David P. Crabb  and
Deanna J. Taylor
David P. Crabb
Affiliation:
Division of Optometry and Visual Science, School of Health Sciences, City, University of London, London EC1V 0HB, United Kingdom. david.crabb.1@city.ac.ukdeanna.taylor@city.ac.ukhttp://www.staff.city.ac.uk/crabblabhttp://www.staff.city.ac.uk/crabblab
Deanna J. Taylor
Affiliation:
Division of Optometry and Visual Science, School of Health Sciences, City, University of London, London EC1V 0HB, United Kingdom. david.crabb.1@city.ac.ukdeanna.taylor@city.ac.ukhttp://www.staff.city.ac.uk/crabblabhttp://www.staff.city.ac.uk/crabblab
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Abstract

When studying visual search, item-based approaches using synthetic targets and distractors limit the real-world applicability of results. Everyday visual search can be impaired in patients with common eye diseases like glaucoma and age-related macular degeneration. We highlight some results in the literature that suggest assessment of real-word search tasks in these patients could be clinically useful.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e135
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Copyright
Copyright © Cambridge University Press 2017 

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