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Human-centered design for a sign language learning application

Authors:

John McDonaldAuthors Info & Claims

PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 60, Pages 1 - 5

https://doi.org/10.1145/3389189.3398007

Published: 30 June 2020 Publication History

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Abstract

An animated sign language dictionary is a valuable resource for caregivers learning to communicate with residents who use sign language. This case study reports on the development of such a tool using the human-centered design methodology. Through interviews and observations with key stakeholders, we realized that our efforts could benefit a broader population that included the residents themselves. The result of this thoughtful approach is an application that is accessible across multiple platforms and features interaction modalities to accommodate the needs of various user groups.

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Cited By

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Hassan Sde Lacerda Pataca CAmin ANourian LNavarro DLee SGordon AWatkins MTigwell GHuenerfauth M(2024)Exploring the Benefits and Applications of Video-Span Selection and Search for Real-Time Support in Sign Language Video Comprehension among ASL LearnersACM Transactions on Accessible Computing10.1145/369064717:3(1-35)Online publication date: 4-Oct-2024
https://dl.acm.org/doi/10.1145/3690647
Bohacek MHassan S(2023)Sign Spotter: Design and Initial Evaluation of an Automatic Video-Based American Sign Language Dictionary SystemProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3614497(1-5)Online publication date: 22-Oct-2023
https://dl.acm.org/doi/10.1145/3597638.3614497
Wang JIvrissimtzis ILi ZZhou YShi L(2023)Exploring the Potential of Immersive Virtual Environments for Learning American Sign LanguageResponsive and Sustainable Educational Futures10.1007/978-3-031-42682-7_31(459-474)Online publication date: 28-Aug-2023
https://doi.org/10.1007/978-3-031-42682-7_31
Show More Cited By

Index Terms

Human-centered design for a sign language learning application
1. Human-centered computing
  1. Accessibility
    1. Accessibility design and evaluation methods
  2. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. Field studies

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Published In

PETRA '20: Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments

June 2020

574 pages

ISBN:9781450377737

DOI:10.1145/3389189

Conference Chair:
Fillia Makedon
University of Texas at Arlington

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 ACM 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 June 2020

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PETRA '20

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NSF
CSE@UTA
NCRS

PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference

June 30 - July 3, 2020

Corfu, Greece

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Cited By

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Hassan Sde Lacerda Pataca CAmin ANourian LNavarro DLee SGordon AWatkins MTigwell GHuenerfauth M(2024)Exploring the Benefits and Applications of Video-Span Selection and Search for Real-Time Support in Sign Language Video Comprehension among ASL LearnersACM Transactions on Accessible Computing10.1145/369064717:3(1-35)Online publication date: 4-Oct-2024
https://dl.acm.org/doi/10.1145/3690647
Bohacek MHassan S(2023)Sign Spotter: Design and Initial Evaluation of an Automatic Video-Based American Sign Language Dictionary SystemProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3614497(1-5)Online publication date: 22-Oct-2023
https://dl.acm.org/doi/10.1145/3597638.3614497
Wang JIvrissimtzis ILi ZZhou YShi L(2023)Exploring the Potential of Immersive Virtual Environments for Learning American Sign LanguageResponsive and Sustainable Educational Futures10.1007/978-3-031-42682-7_31(459-474)Online publication date: 28-Aug-2023
https://doi.org/10.1007/978-3-031-42682-7_31
Wang JIvrissimtzis ILi ZZhou YShi L(2023)Developing and Evaluating a Novel Gamified Virtual Learning Environment for ASLHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42280-5_29(459-468)Online publication date: 25-Aug-2023
https://doi.org/10.1007/978-3-031-42280-5_29
Hassan SLee SMetaxas DNeidle CHuenerfauth M(2022)Understanding ASL Learners’ Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-StudyProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3550367(1-5)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3550367
Hassan SAmin Ade Lacerda Pataca CNavarro DGordon ALee SHuenerfauth M(2022)Support in the Moment: Benefits and use of video-span selection and search for sign-language video comprehension among ASL learnersProceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3517428.3544883(1-14)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1145/3517428.3544883
Hassan SAmin AGordon ALee SHuenerfauth M(2022)Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign RecognitionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501986(1-13)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3501986
Sissoko FBédi B(2021)Assessing learners’ needs for practising spoken Icelandic L2 with the mobile app TALAÐU!CALL and professionalisation: short papers from EUROCALL 202110.14705/rpnet.2021.54.1344(267-272)Online publication date: 13-Dec-2021
https://doi.org/10.14705/rpnet.2021.54.1344

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