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Development of an adaptive serious game for assessing cognitive engagement

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TitleInfo
Title
Development of an adaptive serious game for assessing cognitive engagement
Name (type = personal)
NamePart (type = family)
Banga
NamePart (type = given)
Karansingh
NamePart (type = date)
1991-
DisplayForm
Karansingh Banga
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Michmizos
NamePart (type = given)
Konstantinos
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Konstantinos Michmizos
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Bekris
NamePart (type = given)
Kostas
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Kostas Bekris
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Metaxas
NamePart (type = given)
Dimitris
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Dimitris Metaxas
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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NamePart
School of Graduate Studies
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school
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Text
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theses
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2019
DateOther (qualifier = exact); (type = degree)
2019-05
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Abstract (type = abstract)
Cognitive Engagement is defined as "The act of beginning and carrying on of activity with a sense of emotional involvement or commitment and the deliberate application of effort. Therefore, the concept of 'cognitive engagement in rehabilitation' is operationally defined here as a deliberate effort and commitment to working toward the goals of rehabilitation interventions, typically demonstrated through active, effort-full participation in therapy and cooperation with treatment providers" [1]. Neurorehabilitation robots have been used with tremendous success to restore and improve motor recovery. However, cognitive engagement, which is an important aspect of the therapy has been partially incorporated into the current therapeutic strategies.
The most common methods of assessing cognitive engagement such as self-reports or physiological signals are either subjective or compromised by the disease itself. Hence, these measurements have limited usability in the therapy. There is thus an unmet need to objectively quantify cognitive engagement and integrate it into adaptive rehabilitation strategies.
In this work, we developed a serious game based on Go No-Go paradigm with built-in adaptability. The serious game is designed on the concept of Multiple Object Tracking (MOT), where the participant has to focus on multiple dots on the screen and distinguish between tracking and distractor dots by a Go or No-Go stimulus. The game is adaptive, and adapts the game's speed and the number of dots, by accuracy and reaction time respectively. We aim to test robust adaptive strategies and test their outcome on therapy sessions. We observe parameters such as speed, accuracy, reaction time, count and distance moved to try and gauge how adaptability affects the game.
We aim to draw reliable inferences and better understand the factors that affect adaptability. We know that serious games play a vital role in rehabilitation, as they help add liveliness and entertainment in repetitive exercises in therapy sessions and help the patient achieve their goals. Cognitive Engagement plays a crucial role in serious games, as they are the factor that helps keep patients engrossed in the game and adaptation allows us to make sure that the levels of Cognitive Engagement stay up.
Subject (authority = RUETD)
Topic
Computer Science
Subject (authority = LCSH)
Topic
Nervous system -- Diseases -- Patients -- Rehabilitation -- Technological innovations
Subject (authority = LCSH)
Topic
Games -- Therapeutic use
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_9654
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application/pdf
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1 online resource (x, 51 pages) : illustrations
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
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Title
School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-pf3m-8m31
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Banga
GivenName
Karansingh
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-04-02 02:33:26
AssociatedEntity
Name
Karansingh Banga
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
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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

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2019-04-03T16:08:40
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2019-04-03T16:08:40
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