HapticV1, PascalFrancis, Corpus, bibRecord, 000112

The eyes grasp, the hands see: Metric category knowledge transfers between vision and touch

Identifieur interne : 000112 ( PascalFrancis/Corpus ); précédent : 000111; suivant : 000113

The eyes grasp, the hands see: Metric category knowledge transfers between vision and touch

Auteurs : Christian Wallraven ; Heinrich H. Bülthoff ; Steffen Waterkamp ; Loes Van Dam ; Nina Gaissert

Source :

Psychonomic bulletin & review [ 1069-9384 ] ; 2014.

RBID : Francis:14-0223797

Descripteurs français

Pascal (Inist)
- Mouvement corporel, Préhension, Etude expérimentale, Membre supérieur, Catégorisation, Transfert des connaissances, Vision, Sensibilité tactile, Perception intermodale, Homme.

English descriptors

KwdEn :
- Body movement, Categorization, Experimental study, Gripping, Human, Intermodal perception, Knowledge transfer, Tactile sensitivity, Upper limb, Vision.

Abstract

Categorization of seen objects is often determined by the shapes of objects. However, shape is not exclusive to the visual modality: The haptic system also is expert at identifying shapes. Hence, an important question for understanding shape processing is whether humans store separate modality-dependent shape representations, or whether information is integrated into one multisensory representation. To answer this question, we created a metric space of computer-generated novel objects varying in shape. These objects were then printed using a 3-D printer, to generate tangible stimuli. In a categorization experiment, participants first explored the objects visually and haptically. We found that both modalities led to highly similar categorization behavior. Next, participants were trained either visually or haptically on shape categories within the metric space. As expected, visual training increased visual performance, and haptic training increased haptic performance. Importantly, however, we found that visual training also improved haptic performance, and vice versa. Two additional experiments showed that the location of the categorical boundary in the metric space also transferred across modalities, as did heightened discriminability of objects adjacent to the boundary. This observed transfer of metric category knowledge across modalities indicates that visual and haptic forms of shape information are integrated into a shared multisensory representation.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	FRANCIS 14-0223797 INIST
ET :	The eyes grasp, the hands see: Metric category knowledge transfers between vision and touch
AU :	WALLRAVEN (Christian); BÜLTHOFF (Heinrich H.); WATERKAMP (Steffen); VAN DAM (Loes); GAISSERT (Nina)
AF :	Department of Brain and Cognitive Engineering, Korea University, Anam-Dong 5ga/Seongbuk-gu, Seoul 136-713/Corée, République de (1 aut., 2 aut.); Max Planck Institute for Biological Cybernetics/Tübingen/Allemagne (2 aut., 3 aut., 5 aut.); University of Bielefeld/Bielefeld/Allemagne (4 aut.)
DT :	Publication en série; Courte communication, note brève; Niveau analytique
SO :	Psychonomic bulletin & review; ISSN 1069-9384; Etats-Unis; Da. 2014; Vol. 21; No. 4; Pp. 976-985; Bibl. 1/2 p.
LA :	Anglais
EA :	Categorization of seen objects is often determined by the shapes of objects. However, shape is not exclusive to the visual modality: The haptic system also is expert at identifying shapes. Hence, an important question for understanding shape processing is whether humans store separate modality-dependent shape representations, or whether information is integrated into one multisensory representation. To answer this question, we created a metric space of computer-generated novel objects varying in shape. These objects were then printed using a 3-D printer, to generate tangible stimuli. In a categorization experiment, participants first explored the objects visually and haptically. We found that both modalities led to highly similar categorization behavior. Next, participants were trained either visually or haptically on shape categories within the metric space. As expected, visual training increased visual performance, and haptic training increased haptic performance. Importantly, however, we found that visual training also improved haptic performance, and vice versa. Two additional experiments showed that the location of the categorical boundary in the metric space also transferred across modalities, as did heightened discriminability of objects adjacent to the boundary. This observed transfer of metric category knowledge across modalities indicates that visual and haptic forms of shape information are integrated into a shared multisensory representation.
CC :	770B04D; 770B05C; 770B05E; 770B05H
FD :	Mouvement corporel; Préhension; Etude expérimentale; Membre supérieur; Catégorisation; Transfert des connaissances; Vision; Sensibilité tactile; Perception intermodale; Homme
FG :	Cognition; Motricité
ED :	Body movement; Gripping; Experimental study; Upper limb; Categorization; Knowledge transfer; Vision; Tactile sensitivity; Intermodal perception; Human
EG :	Cognition; Motricity
SD :	Movimiento corporal; Prension; Estudio experimental; Miembro superior; Categorización; Transferencia conocimiento; Visión; Sensibilidad tactil; Percepción intermodal; Hombre
LO :	INIST-13280C.354000504842790100
ID :	14-0223797

Links to Exploration step

Francis:14-0223797

Le document en format XML

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<front><div type="abstract" xml:lang="en">Categorization of seen objects is often determined by the shapes of objects. However, shape is not exclusive to the visual modality: The haptic system also is expert at identifying shapes. Hence, an important question for understanding shape processing is whether humans store separate modality-dependent shape representations, or whether information is integrated into one multisensory representation. To answer this question, we created a metric space of computer-generated novel objects varying in shape. These objects were then printed using a 3-D printer, to generate tangible stimuli. In a categorization experiment, participants first explored the objects visually and haptically. We found that both modalities led to highly similar categorization behavior. Next, participants were trained either visually or haptically on shape categories within the metric space. As expected, visual training increased visual performance, and haptic training increased haptic performance. Importantly, however, we found that visual training also improved haptic performance, and vice versa. Two additional experiments showed that the location of the categorical boundary in the metric space also transferred across modalities, as did heightened discriminability of objects adjacent to the boundary. This observed transfer of metric category knowledge across modalities indicates that visual and haptic forms of shape information are integrated into a shared multisensory representation.</div>
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<server><NO>FRANCIS 14-0223797 INIST</NO>
<ET>The eyes grasp, the hands see: Metric category knowledge transfers between vision and touch</ET>
<AU>WALLRAVEN (Christian); BÜLTHOFF (Heinrich H.); WATERKAMP (Steffen); VAN DAM (Loes); GAISSERT (Nina)</AU>
<AF>Department of Brain and Cognitive Engineering, Korea University, Anam-Dong 5ga/Seongbuk-gu, Seoul 136-713/Corée, République de (1 aut., 2 aut.); Max Planck Institute for Biological Cybernetics/Tübingen/Allemagne (2 aut., 3 aut., 5 aut.); University of Bielefeld/Bielefeld/Allemagne (4 aut.)</AF>
<DT>Publication en série; Courte communication, note brève; Niveau analytique</DT>
<SO>Psychonomic bulletin & review; ISSN 1069-9384; Etats-Unis; Da. 2014; Vol. 21; No. 4; Pp. 976-985; Bibl. 1/2 p.</SO>
<LA>Anglais</LA>
<EA>Categorization of seen objects is often determined by the shapes of objects. However, shape is not exclusive to the visual modality: The haptic system also is expert at identifying shapes. Hence, an important question for understanding shape processing is whether humans store separate modality-dependent shape representations, or whether information is integrated into one multisensory representation. To answer this question, we created a metric space of computer-generated novel objects varying in shape. These objects were then printed using a 3-D printer, to generate tangible stimuli. In a categorization experiment, participants first explored the objects visually and haptically. We found that both modalities led to highly similar categorization behavior. Next, participants were trained either visually or haptically on shape categories within the metric space. As expected, visual training increased visual performance, and haptic training increased haptic performance. Importantly, however, we found that visual training also improved haptic performance, and vice versa. Two additional experiments showed that the location of the categorical boundary in the metric space also transferred across modalities, as did heightened discriminability of objects adjacent to the boundary. This observed transfer of metric category knowledge across modalities indicates that visual and haptic forms of shape information are integrated into a shared multisensory representation.</EA>
<CC>770B04D; 770B05C; 770B05E; 770B05H</CC>
<FD>Mouvement corporel; Préhension; Etude expérimentale; Membre supérieur; Catégorisation; Transfert des connaissances; Vision; Sensibilité tactile; Perception intermodale; Homme</FD>
<FG>Cognition; Motricité</FG>
<ED>Body movement; Gripping; Experimental study; Upper limb; Categorization; Knowledge transfer; Vision; Tactile sensitivity; Intermodal perception; Human</ED>
<EG>Cognition; Motricity</EG>
<SD>Movimiento corporal; Prension; Estudio experimental; Miembro superior; Categorización; Transferencia conocimiento; Visión; Sensibilidad tactil; Percepción intermodal; Hombre</SD>
<LO>INIST-13280C.354000504842790100</LO>
<ID>14-0223797</ID>
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The eyes grasp, the hands see: Metric category knowledge transfers between vision and touch

The eyes grasp, the hands see: Metric category knowledge transfers between vision and touch

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