Congruent Visuohaptic Bimodality Improves Detection of Defects.
Quality control is often carried out by humans. They are more accurate than machines at detecting the many possible defects in complex objects. This task is often multisensorial because defects may be found using touch or vision, or both. A recent multisensory processing theory suggests that differe...
| Publicado en: | Journal of Experimental Psychology. Applied Vol. 31; no. 4; pp. 286 - 297 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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American Psychological Association
Dec2025
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=189253861&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 189253861 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 1076898X 6QS jtl: Journal of Experimental Psychology. Applied issn: 1076898X maglogo: N pubinfo: dt: Dec2025 vid: 31 iid: 4 pid: 34 pub: American Psychological Association artinfo: ui: 189253861 10.1037/xap0000539 ppf: 286 ppct: 11 formats: tig: atl: Congruent Visuohaptic Bimodality Improves Detection of Defects. aug: au: Thuaire, Flavien Belletier, Clément Lutz, Matthieu Izaute, Marie affil: Occupational and Environmental Medicine, Centre Hospitalier Universitaire Clermont-Ferrand LAboratoire de Psychologie Sociale et COgnitive, Université Clermont Auvergne Michelin Recherche et Développement, Innovation Procédés Industriels, Clermont-Ferrand, France su: Quality control Sensorimotor integration Synchronization Haptic devices Defect tracking (Computer software development) sug: subj: Quality control Sensorimotor integration Synchronization Haptic devices Defect tracking (Computer software development) keyword: bimodal exploration equivalence between visual and haptic information haptic interfaces quality control visuohaptic sensitivity bimodal exploration equivalence between visual and haptic information haptic interfaces quality control visuohaptic sensitivity ab: Quality control is often carried out by humans. They are more accurate than machines at detecting the many possible defects in complex objects. This task is often multisensorial because defects may be found using touch or vision, or both. A recent multisensory processing theory suggests that different sensory modalities have their own independent resources but rely on a central attentional system if these resources are exceeded. Conversely, different sensory modalities may be combined to exploit redundancies and complementarities to improve sensitivity, but information from the different modalities should be identical to produce such an improvement. The present study was conducted in 2020 and was designed to investigate visuohaptic sensitivity with the aim of improving methods for detecting defects. The main result of these experiments is that when participants benefited from both visual and haptic information, they were more accurate at detecting defects than when using only visual or haptic information. This improvement only occurred if the same defect was examined with both modalities. These results should be replicated in expert operators. Our results highlight the strength of multisensoriality because congruency yielded better performances than unimodal conditions and incongruency decreased accuracy but may allow two products to be checked at once. Public Significance Statement: Results showed that if vision outperformed haptics, adding touch did not increase performance. On the contrary, if vision was as informative as haptics, using both modalities increased performance as a comparison to a single modality. When participants explored two different materials, their accuracy decreased by around 20%. These results are of interest for quality control in industry because operators may save time in checking one part of the product visually and one another haptically but would increase detection errors. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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