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2023
- doi: 10.3389/fnbot.2022.1034615
- issn: 1662-5218
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info:eu-repo/semantics/altIdentifier/doi/10.3389/fnbot.2022.1034615
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info:eu-repo/semantics/altIdentifier/pmid/36776553
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info:eu-repo/semantics/altIdentifier/pissn/1662-5218
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info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_210B24FFCC358
info:eu-repo/semantics/openAccess , CC BY 4.0 , https://creativecommons.org/licenses/by/4.0/
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Virtual environments Virtual worlds Environments, Virtual Paws Hands Paw Encephalography EEGCiter ce document
S. Marchesotti et al., « Neural signatures of visuo-motor integration during human-robot interactions. », Serveur académique Lausannois, ID : 10.3389/fnbot.2022.1034615
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Résumé
Visuo-motor integration shapes our daily experience and underpins the sense of feeling in control over our actions. The last decade has seen a surge in robotically and virtually mediated interactions, whereby bodily actions ultimately result in an artificial movement. But despite the growing number of applications, the neurophysiological correlates of visuo-motor processing during human-machine interactions under dynamic conditions remain scarce. Here we address this issue by employing a bimanual robotic interface able to track voluntary hands movement, rendered in real-time into the motion of two virtual hands. We experimentally manipulated the visual feedback in the virtual reality with spatial and temporal conflicts and investigated their impact on (1) visuo-motor integration and (2) the subjective experience of being the author of one's action (i.e., sense of agency). Using somatosensory evoked responses measured with electroencephalography, we investigated neural differences occurring when the integration between motor commands and visual feedback is disrupted. Our results show that the right posterior parietal cortex encodes for differences between congruent and spatially-incongruent interactions. The experimental manipulations also induced a decrease in the sense of agency over the robotically-mediated actions. These findings offer solid neurophysiological grounds that can be used in the future to monitor integration mechanisms during movements and ultimately enhance subjective experience during human-machine interactions.