Teaching American Sign Language in Mixed Reality

被引:21
|
作者
Shao, Qijia [1 ]
Sniffen, Amy [1 ]
Blanchet, Julien [1 ]
Hillis, Megan E. [2 ]
Shi, Xinyu [3 ]
Haris, Themistoklis K. [1 ]
Liu, Jason [4 ]
Lamberton, Jason [5 ]
Malzkuhn, Melissa [5 ]
Quandt, Lorna C. [6 ]
Mahoney, James [1 ]
Kraemer, David J. M. [4 ]
Zhou, Xia [1 ]
Balkcom, Devin [1 ]
机构
[1] Dartmouth Coll, Dept Comp Sci, Hanover, NH 03755 USA
[2] Dartmouth Coll, Dept Psychol & Brain Sci, Hanover, NH 03755 USA
[3] Xiamen Univ, Dept Informat, Xiamen, Peoples R China
[4] Dartmouth Coll, Dept Educ, Hanover, NH 03755 USA
[5] Gallaudet Univ, Mot Light Lab, Washington, DC 20002 USA
[6] Gallaudet Univ, Educ Neurosci Program, Washington, DC 20002 USA
来源
PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT | 2020年 / 4卷 / 04期
基金
美国国家科学基金会;
关键词
Motion teaching; American Sign Language; Mixed reality;
D O I
10.1145/3432211
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a holistic system to scale up the teaching and learning of vocabulary words of American Sign Language (ASL). The system leverages the most recent mixed-reality technology to allow the user to perceive her own hands in an immersive learning environment with first- and third-person views for motion demonstration and practice. Precise motion sensing is used to record and evaluate motion, providing real-time feedback tailored to the specific learner. As part of this evaluation, learner motions are matched to features derived from the Hamburg Notation System (HNS) developed by sign-language linguists. We develop a prototype to evaluate the efficacy of mixed-reality-based interactive motion teaching. Results with 60 participants show a statistically significant improvement in learning ASL signs when using our system, in comparison to traditional desktop-based, non-interactive learning. We expect this approach to ultimately allow teaching and guided practice of thousands of signs.
引用
收藏
页数:27
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