Curation
PascalFrancis
Racine
Curation
Checkpoint
PascalFrancis
Racine
PascalFrancis
Exploration
Accueil
Racine
Racine

Serveur d'exploration sur les dispositifs haptiques

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Humans integrate visual and haptic information in a statistically optimal fashion

Identifieur interne : 000215 ( PascalFrancis/Curation ); précédent : 000214; suivant : 000216

Humans integrate visual and haptic information in a statistically optimal fashion

Auteurs : Marc O. Ernst [États-Unis] ; Martin S. Banks [États-Unis]

Source :

RBID : Pascal:02-0244122

Descripteurs français

English descriptors

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.
pA  
A01 01  1    @0 0028-0836
A02 01      @0 NATUAS
A03   1    @0 Nature : (Lond.)
A05       @2 415
A06       @2 6870
A08 01  1  ENG  @1 Humans integrate visual and haptic information in a statistically optimal fashion
A11 01  1    @1 ERNST (Marc O.)
A11 02  1    @1 BANKS (Martin S.)
A14 01      @1 Vision Science Program/School of Optometry, University of California @2 Berkeley 94720-2020 @3 USA @Z 1 aut. @Z 2 aut.
A20       @1 429-433
A21       @1 2002
A23 01      @0 ENG
A43 01      @1 INIST @2 142 @5 354000102509760230
A44       @0 0000 @1 © 2002 INIST-CNRS. All rights reserved.
A45       @0 25 ref.
A47 01  1    @0 02-0244122
A60       @1 P @3 LT
A61       @0 A
A64 01  1    @0 Nature : (London)
A66 01      @0 GBR
C01 01    ENG  @0 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.
C02 01  X    @0 002A26E08
C03 01  X  FRE  @0 Intégration information @5 01
C03 01  X  ENG  @0 Information integration @5 01
C03 01  X  SPA  @0 Integración información @5 01
C03 02  X  FRE  @0 Perception intermodale @5 02
C03 02  X  ENG  @0 Intermodal perception @5 02
C03 02  X  SPA  @0 Percepción intermodal @5 02
C03 03  X  FRE  @0 Vision @5 03
C03 03  X  ENG  @0 Vision @5 03
C03 03  X  SPA  @0 Visión @5 03
C03 04  X  FRE  @0 Sensibilité tactile @5 04
C03 04  X  ENG  @0 Tactile sensitivity @5 04
C03 04  X  SPA  @0 Sensibilidad tactil @5 04
C03 05  X  FRE  @0 Maximum vraisemblance @5 05
C03 05  X  ENG  @0 Maximum likelihood @5 05
C03 05  X  SPA  @0 Maxima verosimilitud @5 05
C03 06  X  FRE  @0 Modèle statistique @5 07
C03 06  X  ENG  @0 Statistical model @5 07
C03 06  X  SPA  @0 Modelo estadístico @5 07
C03 07  X  FRE  @0 Perception @5 17
C03 07  X  ENG  @0 Perception @5 17
C03 07  X  SPA  @0 Percepción @5 17
C03 08  X  FRE  @0 Cognition @5 18
C03 08  X  ENG  @0 Cognition @5 18
C03 08  X  SPA  @0 Cognición @5 18
C03 09  X  FRE  @0 Homme @5 19
C03 09  X  ENG  @0 Human @5 19
C03 09  X  SPA  @0 Hombre @5 19
N21       @1 147
N82       @1 PSI

Links toward previous steps (curation, corpus...)

Links to Exploration step

Pascal:02-0244122

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<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>
</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>
</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>
</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>
</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>
</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>Cognition</term>
<term>Human</term>
<term>Information integration</term>
<term>Intermodal perception</term>
<term>Maximum likelihood</term>
<term>Perception</term>
<term>Statistical model</term>
<term>Tactile sensitivity</term>
<term>Vision</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>
<inist>
<standard h6="B">
<pA>
<fA01 i1="01" i2="1">
<s0>0028-0836</s0>
</fA01>
<fA02 i1="01">
<s0>NATUAS</s0>
</fA02>
<fA03 i2="1">
<s0>Nature : (Lond.)</s0>
</fA03>
<fA05>
<s2>415</s2>
</fA05>
<fA06>
<s2>6870</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG">
<s1>Humans integrate visual and haptic information in a statistically optimal fashion</s1>
</fA08>
<fA11 i1="01" i2="1">
<s1>ERNST (Marc O.)</s1>
</fA11>
<fA11 i1="02" i2="1">
<s1>BANKS (Martin S.)</s1>
</fA11>
<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>
</fA14>
<fA20>
<s1>429-433</s1>
</fA20>
<fA21>
<s1>2002</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>142</s2>
<s5>354000102509760230</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2002 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>25 ref.</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>02-0244122</s0>
</fA47>
<fA60>
<s1>P</s1>
<s3>LT</s3>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Nature : (London)</s0>
</fA64>
<fA66 i1="01">
<s0>GBR</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>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.</s0>
</fC01>
<fC02 i1="01" i2="X">
<s0>002A26E08</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE">
<s0>Intégration information</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="ENG">
<s0>Information integration</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA">
<s0>Integración información</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE">
<s0>Perception intermodale</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG">
<s0>Intermodal perception</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA">
<s0>Percepción intermodal</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE">
<s0>Vision</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG">
<s0>Vision</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA">
<s0>Visión</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE">
<s0>Sensibilité tactile</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG">
<s0>Tactile sensitivity</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA">
<s0>Sensibilidad tactil</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Maximum vraisemblance</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Maximum likelihood</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Maxima verosimilitud</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE">
<s0>Modèle statistique</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG">
<s0>Statistical model</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA">
<s0>Modelo estadístico</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE">
<s0>Perception</s0>
<s5>17</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG">
<s0>Perception</s0>
<s5>17</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA">
<s0>Percepción</s0>
<s5>17</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE">
<s0>Cognition</s0>
<s5>18</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG">
<s0>Cognition</s0>
<s5>18</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA">
<s0>Cognición</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE">
<s0>Homme</s0>
<s5>19</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG">
<s0>Human</s0>
<s5>19</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA">
<s0>Hombre</s0>
<s5>19</s5>
</fC03>
<fN21>
<s1>147</s1>
</fN21>
<fN82>
<s1>PSI</s1>
</fN82>
</pA>
</standard>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/HapticV1/Data/PascalFrancis/Curation

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000215 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Curation/biblio.hfd -nk 000215 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    HapticV1
   |flux=    PascalFrancis
   |étape=   Curation
   |type=    RBID
   |clé=     Pascal:02-0244122
   |texte=   Humans integrate visual and haptic information in a statistically optimal fashion
}}
Wicri

This area was generated with Dilib version V0.6.23.
Data generation: Mon Jun 13 01:09:46 2016. Site generation: Wed Mar 6 09:54:07 2024