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Language Learning in Virtual Reality - Enhancement of Long-Term Vocabulary Recognition and Understanding through Full-Body Avatars

  • Virtual Reality (VR) offers new embodied learning opportunities through full-body avatars interacting with the virtual environment and thereby inducing a sense of embodiment. Interestingly, while there is a profound body of research on various factors of embodiment as well as on embodied learning in virtual environments, the effects of virtual self-representation and avatar embodiment on learningVirtual Reality (VR) offers new embodied learning opportunities through full-body avatars interacting with the virtual environment and thereby inducing a sense of embodiment. Interestingly, while there is a profound body of research on various factors of embodiment as well as on embodied learning in virtual environments, the effects of virtual self-representation and avatar embodiment on learning outcomes are underexplored. In this work we present the results of an exploratory study (n = 32) based on a within-participants design with three conditions. We examined the effects of two fully immersive learning environments, one with low avatar embodiment and one with high avatar embodiment, and a low-immersive desktop application on vocabulary learning. The results imply that fully immersive VR does not improve short- and long-term recognition compared to desktop VR. However, increased immersion prevents knowledge loss and embodied interactions through full-body avatars can foster long-term vocabulary recognition and semantic understanding.zeige mehrzeige weniger

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Metadaten
Dokumentart:Konferenzveröffentlichung
Art der Konferenzveröffentlichung:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/11907
Bibliografische Angaben
Titel (Englisch):Language Learning in Virtual Reality - Enhancement of Long-Term Vocabulary Recognition and Understanding through Full-Body Avatars
Konferenzangaben:Conference on Human Factors in Computing Systems (2025 : Yokohama, Japan)
Verfasserangaben:Benjamin SchnitzerStaff MemberORCiDGND, Stefano GampeStaff MemberORCiDGND, Arndt BiebersteinStaff MemberORCiD, Isabel HoffmannORCiD, Daniel GörlichStaff MemberORCiDGND, Oliver KornStaff MemberORCiDGND
Erscheinungsjahr:2025
Datum der Erstveröffentlichung:25.04.2025
Urhebende Körperschaft:Association for Computing Machinery
Verlagsort:New York
Verlag:ACM
Seitenanzahl:9
Titel des übergeordneten Werkes (Deutsch):CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
ISBN:979-8-4007-1395-8
DOI:https://doi.org/10.1145/3706599.3720187
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Medien (M) (ab 22.04.2021)
Forschung:ACI - Affective and Cognitive Institute
Freies Schlagwort / Tag:avatar embodiment; embodied language learning; virtual reality
Gefördert durch (Auswahl):Bundesministerium für Bildung und Forschung
Formale Angaben
Relevanz für "Jahresbericht über Forschungsleistungen":5-fach | Konferenzbeitrag
Open-Access-Status: Open Access 
 Bronze 
Lizenz (Deutsch):License LogoUrheberrechtlich geschützt