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Position uncertainty, clutter, and performance in naturalistic search tasks

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TitleInfo
Title
Position uncertainty, clutter, and performance in naturalistic search tasks
Name (type = personal)
NamePart (type = family)
Semizer
NamePart (type = given)
Yelda
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Yelda Semizer
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Michel
NamePart (type = given)
Melchi M
DisplayForm
Melchi M Michel
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
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NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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School of Graduate Studies
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school
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theses
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DateCreated (encoding = w3cdtf); (qualifier = exact)
2019
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2019-05
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2019
Language
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English
Abstract (type = abstract)
Uncertainty regarding the position of target objects in natural scenes is a fundamental property of visual search tasks. As visual clutter in natural scenes increases, extrinsic position uncertainty (i.e., set size) also increases. While studies of visual search have repeatedly demonstrated that clutter impairs search performance in natural scenes, these studies have not attempted to disentangle the effects of search set size from those of clutter per se. Moreover, most of the clutter models used in these studies do not take the properties of the search targets into account. Thus, this dissertation has two main objectives: (1) to quantify the effect of clutter on search performance for categorical targets when the set size (i.e., extrinsic position uncertainty) is controlled and (2) to determine what visual features of categorical search targets and backgrounds are important in measuring clutter. In Study I, we investigate the effect of natural image clutter on performance in an overt search for categorical targets when the search set size is controlled. Observers completed a search task that required detecting and localizing common objects in a set of natural images. The images were sorted into high and low clutter conditions based on the clutter metric. The search set size was varied independently, by fixing the number and positions of potential targets across set size conditions within a block of trials. Within each fixed set size condition, search times increased as a function of increasing clutter, suggesting that clutter degrades overt search performance independently of set size. In Study II, we propose new clutter metrics based on two types of target-background similarity (i.e., exemplar level and category level) to predict the effect of clutter on search performance. In a nutshell, our metrics measured the similarity between target and background features (i.e., orientation subbands) in images while also accounting for size of a search target. Our results demonstrated that both the exemplar clutter metric and the category clutter metric predicted search performance. Overall, these two studies suggest that intrinsic position uncertainty and target-background similarity should be incorporated into models of visual search and clutter in determining performance in natural search tasks.
Subject (authority = local)
Topic
Visual search
Subject (authority = RUETD)
Topic
Psychology
Subject (authority = LCSH)
Topic
Searching behavior
Subject (authority = LCSH)
Topic
Visual perception
Subject (authority = LCSH)
Topic
Uncertainty
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
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ETD_9604
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application/pdf
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text/xml
Extent
1 online resource (x, 90 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-sp54-m464
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Semizer
GivenName
Yelda
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-03-25 13:32:15
AssociatedEntity
Name
Yelda Semizer
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
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Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2021-05-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after May 30th, 2021.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2019-03-29T12:26:04
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2019-03-29T12:26:04
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