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The tipping point
Descriptive
TitleInfo
Title
The tipping point
SubTitle
visual estimation of the physical stability of three-dimensional objects
Name
(type = personal)
NamePart
(type = family)
Cholewiak
NamePart
(type = given)
Steven A.
NamePart
(type = date)
1984-
DisplayForm
Steven Cholewiak
Role
RoleTerm
(authority = RULIB)
author
Name
(type = personal)
NamePart
(type = family)
Singh
NamePart
(type = given)
Manish
DisplayForm
Manish Singh
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
chair
Name
(type = personal)
NamePart
(type = family)
Feldman
NamePart
(type = given)
Jacob
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Jacob Feldman
Affiliation
Advisory Committee
Role
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Kowler
NamePart
(type = given)
Eileen
DisplayForm
Eileen Kowler
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Fleming
NamePart
(type = given)
Roland
DisplayForm
Roland Fleming
Affiliation
Advisory Committee
Role
RoleTerm
(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
(type = corporate)
NamePart
Graduate School - New Brunswick
Role
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(authority = RULIB)
school
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Text
Genre
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theses
OriginInfo
DateCreated
(qualifier = exact)
2012
DateOther
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(type = degree)
2012-10
Place
PlaceTerm
(type = code)
xx
Language
LanguageTerm
(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Vision research generally focuses on the currently visible surface properties of objects, such as color, texture, luminance, orientation, and shape. In addition, however, observers can also visually predict the physical behavior of objects, which often requires inferring the action of hidden forces, such as gravity and support relations. One of the main conclusions from the naive physics literature is that people often have inaccurate physical intuitions; however, more recent research has shown that with dynamic simulated displays, observers can correctly infer physical forces (e.g., timing hand movements to catch a falling ball correctly takes into account Newton’s laws of motion). One ecologically important judgment about physical objects is whether they are physically stable or not. This research project examines how people perceive physical stability and addresses (1) How do visual estimates of stability compare to physical predictions? Can observers track the influence of specific shape manipulations on object stability? (2) Can observers match stability across objects with different shapes? How is the overall stability of an object estimated? (3) Are visual estimates of object stability subject to adaptation effects? Is stability a perceptual variable? The experimental findings indicate that: (1) Observers are able to judge the stability of objects quite well and are close to the physical predictions on average. They can track how changing a shape will affect the physical stability; however, the perceptual influence is slightly smaller than physically predicted. (2) Observers can match the stabilities of objects with different three-dimensional shapes -- suggesting that object stability is a unitary dimension -- and their judgments of overall stability are strongly biased towards the minimum critical angle. (3) The majority of observers exhibited a stability adaptation aftereffect, providing evidence in support of the claim that stability may be a perceptual variable.
Subject
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Topic
Psychology
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
Identifier
ETD_4372
PhysicalDescription
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electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
ix, 112 p. : ill.
Note
(type = degree)
Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Steven A. Cholewiak
Subject
(authority = ETD-LCSH)
Topic
Movement, Psychology of
Subject
(authority = ETD-LCSH)
Topic
Vision--Research
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000066658
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TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T3862F7X
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Cholewiak
GivenName
Steven
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2012-10-03 16:07:38
AssociatedEntity
Name
Steven Cholewiak
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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7704064
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