HapticV1, PascalFrancis, Corpus, bibRecord, 001297

Humans integrate visual and haptic information in a statistically optimal fashion

Identifieur interne : 001297 ( PascalFrancis/Corpus ); précédent : 001296; suivant : 001298

Humans integrate visual and haptic information in a statistically optimal fashion

Auteurs : Marc O. Ernst ; Martin S. Banks

Source :

Nature : (London) [ 0028-0836 ] ; 2002.

RBID : Pascal:02-0244122

Descripteurs français

Pascal (Inist)
- Intégration information, Perception intermodale, Vision, Sensibilité tactile, Maximum vraisemblance, Modèle statistique, Perception, Cognition, Homme.

English descriptors

KwdEn :
- Cognition, Human, Information integration, Intermodal perception, Maximum likelihood, Perception, Statistical model, Tactile sensitivity, Vision.

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 position^1-3, but in some circumstances the percept is clearly affected by haptics^4-7. 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 estimation^8-15 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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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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.`
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C03	`04`	`X`	`FRE`	`@0 Sensibilité tactile @5 04`
C03	`04`	`X`	`ENG`	`@0 Tactile sensitivity @5 04`
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Format Inist (serveur)

NO :	PASCAL 02-0244122 INIST
ET :	Humans integrate visual and haptic information in a statistically optimal fashion
AU :	ERNST (Marc O.); BANKS (Martin S.)
AF :	Vision Science Program/School of Optometry, University of California/Berkeley 94720-2020/Etats-Unis (1 aut., 2 aut.)
DT :	Publication en série; Lettre à l'éditeur; Niveau analytique
SO :	Nature : (London); ISSN 0028-0836; Coden NATUAS; Royaume-Uni; Da. 2002; Vol. 415; No. 6870; Pp. 429-433; Bibl. 25 ref.
LA :	Anglais
EA :	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^1-3, but in some circumstances the percept is clearly affected by haptics^4-7. 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 estimation^8-15 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.
CC :	002A26E08
FD :	Intégration information; Perception intermodale; Vision; Sensibilité tactile; Maximum vraisemblance; Modèle statistique; Perception; Cognition; Homme
ED :	Information integration; Intermodal perception; Vision; Tactile sensitivity; Maximum likelihood; Statistical model; Perception; Cognition; Human
SD :	Integración información; Percepción intermodal; Visión; Sensibilidad tactil; Maxima verosimilitud; Modelo estadístico; Percepción; Cognición; Hombre
LO :	INIST-142.354000102509760230
ID :	02-0244122

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Pascal:02-0244122

Le document en format XML

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, 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.</EA>
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Humans integrate visual and haptic information in a statistically optimal fashion

Humans integrate visual and haptic information in a statistically optimal fashion

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