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.…


| 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): | Urheberrechtlich geschützt |



