HapticV1, PubMed, Corpus, bibRecord, 000F67

Integration of disparity and velocity information for haptic and perceptual judgments of object depth.

Identifieur interne : 000F67 ( PubMed/Corpus ); précédent : 000F66; suivant : 000F68

Integration of disparity and velocity information for haptic and perceptual judgments of object depth.

Auteurs : Rachel Foster ; Carlo Fantoni ; Corrado Caudek ; Fulvio Domini

Source :

Acta psychologica [ 1873-6297 ] ; 2011.

RBID : pubmed:21237442

English descriptors

KwdEn :
- Adult, Cues, Depth Perception (physiology), Humans, Judgment (physiology), Models, Psychological, Motion Perception (physiology), Orientation (physiology), Photic Stimulation, Psychomotor Performance (physiology).
MESH :
- physiology : Depth Perception, Judgment, Motion Perception, Orientation, Psychomotor Performance.
- Adult, Cues, Humans, Models, Psychological, Photic Stimulation.

Abstract

Do reach-to-grasp (prehension) movements require a metric representation of three-dimensional (3D) layouts and objects? We propose a model relying only on direct sensory information to account for the planning and execution of prehension movements in the absence of haptic feedback and when the hand is not visible. In the present investigation, we isolate relative motion and binocular disparity information from other depth cues and we study their efficacy for reach-to-grasp movements and visual judgments. We show that (i) the amplitude of the grasp increases when relative motion is added to binocular disparity information, even if depth from disparity information is already veridical, and (ii) similar distortions of derived depth are found for haptic tasks and perceptual judgments. With a quantitative test, we demonstrate that our results are consistent with the Intrinsic Constraint model and do not require 3D metric inferences (Domini, Caudek, & Tassinari, 2006). By contrast, the linear cue integration model (Landy, Maloney, Johnston, & Young, 1995) cannot explain the present results, even if the flatness cues are taken into account.

DOI: 10.1016/j.actpsy.2010.12.003
PubMed: 21237442

Links to Exploration step

pubmed:21237442

Le document en format XML

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<author><name sortKey="Foster, Rachel" sort="Foster, Rachel" uniqKey="Foster R" first="Rachel" last="Foster">Rachel Foster</name>
<affiliation><nlm:affiliation>Department of Cognitive and Linguistic Sciences, Brown University, Providence, RI, USA. rachel.mary.foster@gmail.com</nlm:affiliation>
</affiliation>
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<author><name sortKey="Fantoni, Carlo" sort="Fantoni, Carlo" uniqKey="Fantoni C" first="Carlo" last="Fantoni">Carlo Fantoni</name>
</author>
<author><name sortKey="Caudek, Corrado" sort="Caudek, Corrado" uniqKey="Caudek C" first="Corrado" last="Caudek">Corrado Caudek</name>
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<author><name sortKey="Domini, Fulvio" sort="Domini, Fulvio" uniqKey="Domini F" first="Fulvio" last="Domini">Fulvio Domini</name>
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<author><name sortKey="Fantoni, Carlo" sort="Fantoni, Carlo" uniqKey="Fantoni C" first="Carlo" last="Fantoni">Carlo Fantoni</name>
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<author><name sortKey="Caudek, Corrado" sort="Caudek, Corrado" uniqKey="Caudek C" first="Corrado" last="Caudek">Corrado Caudek</name>
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<author><name sortKey="Domini, Fulvio" sort="Domini, Fulvio" uniqKey="Domini F" first="Fulvio" last="Domini">Fulvio Domini</name>
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<series><title level="j">Acta psychologica</title>
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<term>Motion Perception (physiology)</term>
<term>Orientation (physiology)</term>
<term>Photic Stimulation</term>
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<keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Depth Perception</term>
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<front><div type="abstract" xml:lang="en">Do reach-to-grasp (prehension) movements require a metric representation of three-dimensional (3D) layouts and objects? We propose a model relying only on direct sensory information to account for the planning and execution of prehension movements in the absence of haptic feedback and when the hand is not visible. In the present investigation, we isolate relative motion and binocular disparity information from other depth cues and we study their efficacy for reach-to-grasp movements and visual judgments. We show that (i) the amplitude of the grasp increases when relative motion is added to binocular disparity information, even if depth from disparity information is already veridical, and (ii) similar distortions of derived depth are found for haptic tasks and perceptual judgments. With a quantitative test, we demonstrate that our results are consistent with the Intrinsic Constraint model and do not require 3D metric inferences (Domini, Caudek, & Tassinari, 2006). By contrast, the linear cue integration model (Landy, Maloney, Johnston, & Young, 1995) cannot explain the present results, even if the flatness cues are taken into account.</div>
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<Title>Acta psychologica</Title>
<ISOAbbreviation>Acta Psychol (Amst)</ISOAbbreviation>
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<ArticleTitle>Integration of disparity and velocity information for haptic and perceptual judgments of object depth.</ArticleTitle>
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<Abstract><AbstractText>Do reach-to-grasp (prehension) movements require a metric representation of three-dimensional (3D) layouts and objects? We propose a model relying only on direct sensory information to account for the planning and execution of prehension movements in the absence of haptic feedback and when the hand is not visible. In the present investigation, we isolate relative motion and binocular disparity information from other depth cues and we study their efficacy for reach-to-grasp movements and visual judgments. We show that (i) the amplitude of the grasp increases when relative motion is added to binocular disparity information, even if depth from disparity information is already veridical, and (ii) similar distortions of derived depth are found for haptic tasks and perceptual judgments. With a quantitative test, we demonstrate that our results are consistent with the Intrinsic Constraint model and do not require 3D metric inferences (Domini, Caudek, & Tassinari, 2006). By contrast, the linear cue integration model (Landy, Maloney, Johnston, & Young, 1995) cannot explain the present results, even if the flatness cues are taken into account.</AbstractText>
<CopyrightInformation>Copyright © 2010 Elsevier B.V. All rights reserved.</CopyrightInformation>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D007600">Judgment</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D008960">Models, Psychological</DescriptorName>
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<MeshHeading><DescriptorName MajorTopicYN="N" UI="D009949">Orientation</DescriptorName>
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<PubMedPubDate PubStatus="revised"><Year>2010</Year>
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<PubMedPubDate PubStatus="accepted"><Year>2010</Year>
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<PubMedPubDate PubStatus="aheadofprint"><Year>2011</Year>
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Integration of disparity and velocity information for haptic and perceptual judgments of object depth.

Integration of disparity and velocity information for haptic and perceptual judgments of object depth.

Source :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki