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Understanding Challenges and Opportunities of Technology-Supported Sign Language Learning

Authors:

Sarah Faltaous,

Torben Winkler,

Christina Schneegass,

Uwe Gruenefeld,

Stefan SchneegassAuthors Info & Claims

AHs '22: Proceedings of the Augmented Humans International Conference 2022

Pages 15 - 25

https://doi.org/10.1145/3519391.3519396

Published: 18 April 2022 Publication History

Abstract

Around 466 million people in the world live with hearing loss, with many benefiting from sign language as a mean of communication. Through advancements in technology-supported learning, autodidactic acquisition of sign languages, e.g., American Sign Language (ASL), has become possible. However, little is known about the best practices for teaching signs using technology. This work investigates the use of different conditions for teaching ASL signs: audio, visual, electrical muscle stimulation (EMS), and visual combined with EMS. In a user study, we compare participants’ accuracy in executing signs, recall ability after a two-week break, and user experience. Our results show that the conditions involving EMS resulted in the best overall user experience. Moreover, ten ASL experts rated the signs performed with visual and EMS combined highest. We conclude our work with the potentials and drawbacks of each condition and present implications that will benefit the design of future learning systems.

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Cited By

Faltaous SWilliamson JKoelle MPfeiffer MKeppel JSchneegass S(2024)Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer InteractionProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642585(1-16)Online publication date: 11-May-2024
https://doi.org/10.1145/3613904.3642585
Faltaous SKoelle MSchneegass S(2022)From Perception to Action: A Review and Taxonomy on Electrical Muscle Stimulation in HCIProceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia10.1145/3568444.3568460(159-171)Online publication date: 27-Nov-2022
https://dl.acm.org/doi/10.1145/3568444.3568460

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cover image ACM Other conferences

AHs '22: Proceedings of the Augmented Humans International Conference 2022

March 2022

350 pages

ISBN:9781450396325

DOI:10.1145/3519391

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 18 April 2022

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Bundesministerium für Bildung und Forschung

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AHs 2022

AHs 2022: Augmented Humans 2022

March 13 - 15, 2022

Kashiwa, Chiba, Japan

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Cited By

Faltaous SWilliamson JKoelle MPfeiffer MKeppel JSchneegass S(2024)Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer InteractionProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642585(1-16)Online publication date: 11-May-2024
https://doi.org/10.1145/3613904.3642585
Faltaous SKoelle MSchneegass S(2022)From Perception to Action: A Review and Taxonomy on Electrical Muscle Stimulation in HCIProceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia10.1145/3568444.3568460(159-171)Online publication date: 27-Nov-2022
https://dl.acm.org/doi/10.1145/3568444.3568460

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