Humans integrate visual and haptic information in a statistically optimal fashion
Identifieur interne : 007364 ( Main/Exploration ); précédent : 007363; suivant : 007365Humans integrate visual and haptic information in a statistically optimal fashion
Auteurs : Marc O. Ernst [États-Unis] ; Martin S. Banks [États-Unis]Source :
- Nature : (London) [ 0028-0836 ] ; 2002.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Homme.
English descriptors
- KwdEn :
- MESH :
- physiology : Size Perception, Touch.
- Adult, Humans, Models, Neurological, Sensory Thresholds.
Abstract
When a person looks at an object while exploring it with their hand, vision and touch both provide information for estimating the properties of the object. Vision frequently dominates the integrated visual-haptic percept, for example when judging size, shape or position1-3, but in some circumstances the percept is clearly affected by haptics4-7. Here we propose that a general principle, which minimizes variance in the final estimate, determines the degree to which vision or haptics dominates. This principle is realized by using maximum-likelihood estimation8-15 to combine the inputs. To investigate cue combination quantitatively, we first measured the variances associated with visual and haptic estimation of height. We then used these measurements to construct a maximum-likelihood integrator. This model behaved very similarly to humans in a visual-haptic task. Thus, the nervous system seems to combine visual and haptic information in a fashion that is similar to a maximum-likelihood integrator. Visual dominance occurs when the variance associated with visual estimation is lower than that associated with haptic estimation.
Affiliations:
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Le document en format XML
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Banks</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Vision Science Program/School of Optometry, University of California</s1><s2>Berkeley 94720-2020</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Berkeley (Californie)</settlement><region type="state">Californie</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">02-0244122</idno><date when="2002">2002</date><idno type="stanalyst">PASCAL 02-0244122 INIST</idno><idno type="RBID">Pascal:02-0244122</idno><idno type="wicri:Area/PascalFrancis/Corpus">001297</idno><idno type="wicri:Area/PascalFrancis/Curation">000215</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000F69</idno><idno type="wicri:doubleKey">0028-0836:2002:Ernst M:humans:integrate:visual</idno><idno type="wicri:Area/Main/Merge">007909</idno><idno type="wicri:source">PubMed</idno><idno type="RBID">pubmed:11807554</idno><idno type="wicri:Area/PubMed/Corpus">001D02</idno><idno type="wicri:Area/PubMed/Curation">001D02</idno><idno type="wicri:Area/PubMed/Checkpoint">001A11</idno><idno type="wicri:Area/Ncbi/Merge">000270</idno><idno type="wicri:Area/Ncbi/Curation">000270</idno><idno type="wicri:Area/Ncbi/Checkpoint">000270</idno><idno type="wicri:doubleKey">0028-0836:2002:Ernst M:humans:integrate:visual</idno><idno type="wicri:Area/Main/Merge">007604</idno><idno type="wicri:Area/Main/Curation">007364</idno><idno type="wicri:Area/Main/Exploration">007364</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Humans integrate visual and haptic information in a statistically optimal fashion</title><author><name sortKey="Ernst, Marc O" sort="Ernst, Marc O" uniqKey="Ernst M" first="Marc O." last="Ernst">Marc O. Ernst</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Vision Science Program/School of Optometry, University of California</s1><s2>Berkeley 94720-2020</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Berkeley (Californie)</settlement><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Banks, Martin S" sort="Banks, Martin S" uniqKey="Banks M" first="Martin S." last="Banks">Martin S. Banks</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Vision Science Program/School of Optometry, University of California</s1><s2>Berkeley 94720-2020</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><settlement type="city">Berkeley (Californie)</settlement><region type="state">Californie</region></placeName></affiliation></author></analytic><series><title level="j" type="main">Nature : (London)</title><title level="j" type="abbreviated">Nature : (Lond.)</title><idno type="ISSN">0028-0836</idno><imprint><date when="2002">2002</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Nature : (London)</title><title level="j" type="abbreviated">Nature : (Lond.)</title><idno type="ISSN">0028-0836</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Cognition</term><term>Human</term><term>Humans</term><term>Information integration</term><term>Intermodal perception</term><term>Maximum likelihood</term><term>Models, Neurological</term><term>Perception</term><term>Sensory Thresholds</term><term>Size Perception (physiology)</term><term>Statistical model</term><term>Tactile sensitivity</term><term>Touch (physiology)</term><term>Vision</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Size Perception</term><term>Touch</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Humans</term><term>Models, Neurological</term><term>Sensory Thresholds</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Intégration information</term><term>Perception intermodale</term><term>Vision</term><term>Sensibilité tactile</term><term>Maximum vraisemblance</term><term>Modèle statistique</term><term>Perception</term><term>Cognition</term><term>Homme</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Homme</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">When a person looks at an object while exploring it with their hand, vision and touch both provide information for estimating the properties of the object. Vision frequently dominates the integrated visual-haptic percept, for example when judging size, shape or position<sup>1-3</sup>, but in some circumstances the percept is clearly affected by haptics<sup>4-7</sup>. Here we propose that a general principle, which minimizes variance in the final estimate, determines the degree to which vision or haptics dominates. This principle is realized by using maximum-likelihood estimation<sup>8-15</sup> to combine the inputs. To investigate cue combination quantitatively, we first measured the variances associated with visual and haptic estimation of height. We then used these measurements to construct a maximum-likelihood integrator. This model behaved very similarly to humans in a visual-haptic task. Thus, the nervous system seems to combine visual and haptic information in a fashion that is similar to a maximum-likelihood integrator. Visual dominance occurs when the variance associated with visual estimation is lower than that associated with haptic estimation.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Californie</li></region><settlement><li>Berkeley (Californie)</li></settlement></list><tree><country name="États-Unis"><region name="Californie"><name sortKey="Ernst, Marc O" sort="Ernst, Marc O" uniqKey="Ernst M" first="Marc O." last="Ernst">Marc O. Ernst</name></region><name sortKey="Banks, Martin S" sort="Banks, Martin S" uniqKey="Banks M" first="Martin S." last="Banks">Martin S. Banks</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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