Humans integrate visual and haptic information in a statistically optimal fashion
Identifieur interne : 007909 ( Main/Merge ); précédent : 007908; suivant : 007910Humans 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 :
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.
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Pascal:02-0244122Le document en format XML
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<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>
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<name sortKey="Banks, Martin S" sort="Banks, Martin S" uniqKey="Banks M" first="Martin S." last="Banks">Martin S. Banks</name>
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