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Perceptual decisions under risk in a motion extrapolation paradigm

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TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Perceptual decisions under risk in a motion extrapolation paradigm
SubTitle
PartName
PartNumber
NonSort
Identifier (displayLabel = ); (invalid = )
ETD_1006
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051766
Language (objectPart = )
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Psychology
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Decision making--Psychological aspects
Abstract
Classical work on decision-making has demonstrated systematic deviations from normative behavior. Recent experiments on movement planning, however, have shown that subjects can be indistinguishable from optimality in their visuo-motor decisions (Trommershaeuser et al., 2003a, 2003b). Unlike the classical case, the uncertainty in the visuo-motor case is internal to the subjects; it arises from their motor
variability—variability in executing a motor action.
We asked whether observers can also combine the intrinsic variability in their perceptual representation with externally-specified reward-and-penalty structure to make optimal decisions. We extended a paradigm used to study the visual extrapolation of static contour geometry (Singh & Fulvio, 2005), to examine observers’ decisions under risk in extrapolating curved motion trajectories.
Observers viewed a dot moving along a parabolic trajectory disappear behind the straight-edge of a half-disk occluder. Their task was to “catch” the dot from the opposite curved side, by adjusting the angular position of an arc or “mitt”. In the risky conditions, a double-mitt was used, comprising a green reward region and a red penalty region, with partial overlap.
Observers’ gains/losses were determined by the part of the double-mitt that “caught” the dot. Variables manipulated were: trajectory curvature, penalty value, and mitt overlap.
Observers’ performance in the baseline condition was used to estimate individual bias and variability. Based on these, predictions of optimal shift and optimal score were computed, using maximization of expected gain.
We found that observed shifts were well predicted by optimal shifts. Moreover, observer efficiency (observed/optimal score) was high (80% - 114%). The results indicate that observers are implicitly aware of the instrinsic variability in their perceptual representation, and can combine it with externally-specified reward-and-penalty structure to make near-
optimal decisions.
PhysicalDescription
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electronic resource
Extent
iii, 50 p. : ill.
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application/pdf
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text/xml
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references (p. 49-50)
Note (type = statement of responsibility)
by Shalin Shah
Name (ID = NAME-1); (type = personal)
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Shah
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Shalin
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author
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Shalin Shah
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
Singh
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Manish
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chair
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Advisory Committee
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Manish Singh
Name (ID = NAME-3); (type = personal)
NamePart (type = family)
Kowler
NamePart (type = given)
Eileen
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RoleTerm (authority = RULIB); (type = )
internal member
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Advisory Committee
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Eileen Kowler
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Feldman
NamePart (type = given)
Jacob
Role
RoleTerm (authority = RULIB); (type = )
internal member
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Advisory Committee
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Jacob Feldman
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB); (type = )
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB); (type = )
school
OriginInfo
DateCreated (point = ); (qualifier = exact)
2008
DateOther (qualifier = exact); (type = degree)
2008-10
Place
PlaceTerm (type = code)
xx
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3X0677S
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Notice
Note
Availability
Status
Open
Reason
Permission or license
Note
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Shah
GivenName
Shalin
Role
Copyright holder
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Type
Permission or license
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Place
DateTime
Detail
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Shalin Shah
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
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.
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application/pdf
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application/x-tar
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1802240
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20c9665e38e7bb77c4717bc28943da7975d3a3da
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