Title:	JengASL: A Gamified Approach to Sign Language Learning in VR
Authors:	Shaw, Alex Wünsche, Burkhard C. Mariono, Kevin Ranveer, Aiden Xiao, Manhui Hajika, Ryo Liu, Yitong
Citation:	Journal of WSCG. 2023, vol. 31, no. 1-2, p. 34-42.
Issue Date:	2023
Publisher:	Václav Skala - UNION Agency
Document type:	článek article
URI:	http://hdl.handle.net/11025/54282
ISSN:	1213 – 6972 (hard copy) 1213 – 6980 (CD-ROM) 1213 – 6964 (on-line)
Keywords:	virtuální realita;znaková řeč;výuka;rozpoznávání gest;gamifikace
Keywords in different language:	Virtual Reality;sign language;teaching;gesture recognition;gamification
Abstract in different language:	Learning sign language has many advantages ranging from being able to communicate with millions of hearing impaired people, to improving cognitive function and communication skills. Sign language is recognised as an official language in 74 countries, including Germany, Japan, and the UK. Despite that only a small percentage of people attempt to learn sign language. In this research we investigate how virtual reality and gamification can be used to make learning sign language more enjoyable and motivating. We present JengASL, a gamified approach using 3D hand models, gesture recognition, and interactive gameplay in Virtual Reality to teach American Sign Language. We evaluate this system with a pilot study using eight participants and found that while it is less effective for sign memorisation than traditional 2D image-based learning methods, learning is more, but not significantly more, enjoyable and motivating.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	Volume 31, Number 1-2 (2023)

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