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Using virtual reality to assess gesture performance deficits in schizophrenia patients

Bibliographic Data

ID15527453
AuthorsAnastasia Pavlidou (0000-0002-5590-3456, University of Bern, corresponding author), Geoffrey Gorisse (0000-0003-1613-927X, Arts et Métiers), Domna Banakou (0000-0002-0974-6971, New York University Abu Dhabi), Sebastian Walther (0000-0003-4026-3561, University of Bern)
Year2023
Volume14
Pages1191601-1191601
Publication date2023-06-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2023.1191601
PMID37363173
OpenAlexW4380085166
LanguageEN
Citations received1
References cited87

This study aims to provide objective measurements of gesture performance accuracy in schizophrenia patients. If successful, the results will provide new knowledge to the gesture literature and offer the potential for novel therapeutic interventions using virtual reality technologies. Such interventions can improve gesturing and thus advance social communication skills in schizophrenia patients

Cognitive psychology · Embodied cognition · Gesture · Gesture recognition · Human–computer interaction · Psychological intervention · Schizophrenia (object-oriented programming · Task (project management · Virtual reality · Action Observation and Synchronization · Computer Science · Psychology · Psychosomatic Disorders and Their Treatments · Virtual Reality Applications and Impacts · Artificial Intelligence

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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