Parallel processing of shape and texture in haptic search
Identifieur interne : 001548 ( Main/Curation ); précédent : 001547; suivant : 001549Parallel processing of shape and texture in haptic search
Auteurs : Vonne Van Polanen [Pays-Bas] ; Wouter M. Bergmann Tiest [Pays-Bas] ; Astrid M. L. Kappers [Pays-Bas]Source :
- Acta psychologica [ 0001-6918 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Homme.
English descriptors
- KwdEn :
Abstract
In a haptic search task, one has to determine the presence of a target among distractors. It has been shown that if the target differs from the distractors in two properties, shape and texture, performance is better than in both single-property conditions (Van Polanen, Bergmann Tiest, & Kappers, 2013). The search for a smooth sphere among rough cubical distractors was faster than both the searches for a rough sphere (shape information only) and for a smooth cube (texture information only). This effect was replicated in this study as a baseline. The main focus here was to further investigate the nature of this integration. It was shown that performance is better when the two properties are combined in a single target (smooth sphere), than when located in two separate targets (rough sphere and smooth cube) that are simultaneously present. A race model that assumes independent parallel processing of the two properties could explain the enhanced performance with two properties, but this could only take place effectively when the two properties were located in a single target.
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Pascal:14-0166871Le document en format XML
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<front><div type="abstract" xml:lang="en">In a haptic search task, one has to determine the presence of a target among distractors. It has been shown that if the target differs from the distractors in two properties, shape and texture, performance is better than in both single-property conditions (Van Polanen, Bergmann Tiest, & Kappers, 2013). The search for a smooth sphere among rough cubical distractors was faster than both the searches for a rough sphere (shape information only) and for a smooth cube (texture information only). This effect was replicated in this study as a baseline. The main focus here was to further investigate the nature of this integration. It was shown that performance is better when the two properties are combined in a single target (smooth sphere), than when located in two separate targets (rough sphere and smooth cube) that are simultaneously present. A race model that assumes independent parallel processing of the two properties could explain the enhanced performance with two properties, but this could only take place effectively when the two properties were located in a single target.</div>
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