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Towards Nonverbal Communication in Multi-User Virtual Reality Learning Environments: A Systematic Review

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dc.contributor.authorWehrmann, Frank
dc.contributor.authorZender, Raphael
dc.contributor.editorSchulz, Sandra
dc.contributor.editorKiesler, Natalie
dc.date.accessioned2024-09-03T16:26:19Z
dc.date.available2024-09-03T16:26:19Z
dc.date.issued2024
dc.description.abstractVirtual Reality is uniquely positioned to enable multi-user interactions through embodiment in virtual environments. Beyond verbal communication, this embodiment allows for various modes of nonverbal communication, such as body language, facial expressions, gestures, and avatar design. Nonverbal communication plays a significant role in face-to-face communication and is especially relevant in inclusive education, where both the diversity of expression of the students and their various communicative needs can be better catered to with a wider range of available communicative means. To explore the current state of practices and perceived benefits of nonverbal communication in multi-user virtual reality learning environments, a systematic review was conducted. The review identifies 14 relevant papers but concludes that this area represents a research gap. A discussion of potentials for nonverbal learning highlights future directions to address this gap.en
dc.identifier.doi10.18420/delfi2024_03
dc.identifier.eissn2944-7682
dc.identifier.issn2944-7682
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44512
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI 2024
dc.relation.ispartofseriesDELFI
dc.subjectVirtual Reality
dc.subjectNonverbal Communication
dc.subjectMulti-User
dc.subjectE-Learning
dc.subjectEmbodied Learning
dc.titleTowards Nonverbal Communication in Multi-User Virtual Reality Learning Environments: A Systematic Reviewen
dc.typeText/Conference paper
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleBest Paper Kandidaten Langbeiträge
mci.document.qualitydigidoc
mci.reference.pages31-48

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