Integration of Length and Curvature in Haptic Perception
Identifieur interne : 001107 ( Main/Exploration ); précédent : 001106; suivant : 001108Integration of Length and Curvature in Haptic Perception
Auteurs : Virjanand Panday [Pays-Bas] ; Wouter M. Bergmann Tiest [Pays-Bas] ; Astrid M. L. Kappers [Pays-Bas]Source :
- Scientific Reports [ 2045-2322 ] ; 2014.
English descriptors
- KwdEn :
- MESH :
- physiology : Fingers, Psychomotor Performance, Space Perception, Touch, Touch Perception.
- Cues, Female, Humans, Male, Young Adult.
Abstract
We investigated if and how length and curvature information are integrated when an object is explored in one hand. Subjects were asked to explore four types of objects between thumb and index finger. Objects differed in either length, curvature, both length and curvature correlated as in a circle, or anti-correlated. We found that when both length and curvature are present, performance is significantly better than when only one of the two cues is available. Therefore, we conclude that there is integration of length and curvature. Moreover, if the two cues are correlated in a circular cross-section instead of in an anti-correlated way, performance is better than predicted by a combination of two independent cues. We conclude that integration of curvature and length is highly efficient when the cues in the object are combined as in a circle, which is the most common combination of curvature and length in daily life.
Url:
DOI: 10.1038/srep03856
PubMed: 24457258
PubMed Central: 3900993
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>We investigated if and how length and curvature information are integrated when an object is explored in one hand. Subjects were asked to explore four types of objects between thumb and index finger. Objects differed in either length, curvature, both length and curvature correlated as in a circle, or anti-correlated. We found that when both length and curvature are present, performance is significantly better than when only one of the two cues is available. Therefore, we conclude that there is integration of length and curvature. Moreover, if the two cues are correlated in a circular cross-section instead of in an anti-correlated way, performance is better than predicted by a combination of two independent cues. We conclude that integration of curvature and length is highly efficient when the cues in the object are combined as in a circle, which is the most common combination of curvature and length in daily life.</p>
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