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Representing the search session process
Descriptive
TitleInfo
Title
Representing the search session process
Name
(type = personal)
NamePart
(type = family)
Cole
NamePart
(type = given)
Michael John
NamePart
(type = date)
1954-
DisplayForm
Michael John Cole
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Belkin
NamePart
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Nicholas J.
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Nicholas J. Belkin
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Advisory Committee
Role
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chair
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(type = family)
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(type = given)
Nina
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Nina Wacholder
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Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Gwizdka
NamePart
(type = given)
Jacek
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Jacek Gwizdka
Affiliation
Advisory Committee
Role
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(authority = RULIB)
outside member
Name
(type = personal)
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(type = family)
Stone
NamePart
(type = given)
Matthew
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Matthew Stone
Affiliation
Advisory Committee
Role
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(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - New Brunswick
Role
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school
TypeOfResource
Text
Genre
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theses
OriginInfo
DateCreated
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(qualifier = exact)
2016
DateOther
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(type = degree)
2016-01
CopyrightDate
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(qualifier = exact)
2016
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Information search is a cognitive process by which users work to satisfy an information need or solve a problem. Information system performance could be improved if it had a grounded belief about the user and their goal. To accomplish this, a system needs to recognize and predict user states and aspects of their task, including search intentions. High fidelity representation of user mental states during search would best capture the user situation and presumably allow for better calculation of actions to take to help the user achieve their task goal more quickly and/or with higher quality outcomes. While there is research to infer user search context based on their activity with system, such as page use and query submissions, there has been little work to model user search session actions from a cognitive perspective. The dissertation addresses the development of a framework and methodology to represent some aspects of user information processing states in the information search process by exploiting eye movement patterns in the reading information acquisition process. This work is situated within a user-centered and cognitive model of the entire information seeking session. Information processing states were learned for participants in a user study where tasks were varied by complexity and other factors likely to influence search strategy and tactics. The learned information processing states were examined as patterns of user search actions to investigate whether task differences could be distinguished. In principle, such a model could help to ground system inferences and predictions about the current search state of the user and some aspects of their task goal, i.e. what they are trying to accomplish. The results show tasks can be distinguished using information processing state patterns. The results are discussed and potential for application in personalization and making simulated users considered. Limitations and directions for research are identified.
Subject
(authority = RUETD)
Topic
Communication, Information and Library Studies
Subject
(authority = ETD-LCSH)
Topic
Information retrieval
RelatedItem
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_7017
PhysicalDescription
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiii, 200 p. : ill.)
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Michael John Cole
RelatedItem
(type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Location
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3WW7KRP
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
Cole
GivenName
Michael
MiddleName
John
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2016-01-13 13:16:35
AssociatedEntity
Name
Michael Cole
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
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.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
RULTechMD
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ContentModel
ETD
OperatingSystem
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windows xp
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