Humans integrate visual and haptic information in a statistically optimal fashion.

@article{citeulike:98486, 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, but in some circumstances the percept is clearly affected by haptics. 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 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.}, address = {Vision Science Program, School of Optometry, University of California, Berkeley 94720-2020, USA. marc.ernst@tuebingen.mpg.de}, author = {Ernst, M. O. and Banks, M. S. }, citeulike-article-id = {98486}, doi = {10.1038/415429a}, issn = {0028-0836}, journal = {Nature}, keywords = {bayesian, cue-integration, journal-club}, month = {January}, number = {6870}, pages = {429--433}, posted-at = {2008-05-12 22:44:37}, priority = {0}, title = {Humans integrate visual and haptic information in a statistically optimal fashion.}, url = {http://dx.doi.org/10.1038/415429a}, volume = {415}, year = {2002} }

TY - JOUR ID - citeulike:98486 L3 - citeulike-article-id:98486 TI - Humans integrate visual and haptic information in a statistically optimal fashion. JF - Nature VL - 415 IS - 6870 SP - 429 EP - 433 AD - Vision Science Program, School of Optometry, University of California, Berkeley 94720-2020, USA. marc.ernst@tuebingen.mpg.de SN - 0028-0836 N2 - 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, but in some circumstances the percept is clearly affected by haptics. 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 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. KW - bayesian KW - cue-integration KW - journal-club AU - Ernst, MO AU - Banks, MS PY - 2002/01/24/ UR - http://dx.doi.org/10.1038/415429a ER -