research-article

Learning a physical skill via a computer: a case study exploring Australian Sign Language

Authors:

Kirsten Ellis,

Neil Ray,

Cheryl HowardAuthors Info & Claims

OzCHI '11: Proceedings of the 23rd Australian Computer-Human Interaction Conference

Pages 98 - 103

https://doi.org/10.1145/2071536.2071550

Published: 28 November 2011 Publication History

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Abstract

The aim of this research project was to consider the implications of teaching a physical skill using a computer. The case study that was used was the development of a resource for teaching Australian Sign Language (Auslan) to hearing people that could be customised to cater for user's individual learning preferences. Learning Auslan as visual spatial languages presents several interesting human--computer interaction challenges to the interface designer as the user is trying to learn a physical skill via the computer. In addition, multiple vocabularies could be targeted to meet the needs of different users by implementing dynamic insertion of resources. The premise for this approach was to empower the deaf community to create and customise their own teaching resources rather than being dependent on a programmer for each new version of the learning material.

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Cited By

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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
Falvo VScatalon LFrancine Barbosa E(2020)The Role of Technology to Teaching and Learning Sign Languages: A Systematic Mapping2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274169(1-9)Online publication date: 21-Oct-2020
https://doi.org/10.1109/FIE44824.2020.9274169
Chai XLiu ZLi YYin FChen X(2017)SignInstructor: An Effective Tool for Sign Language Vocabulary Learning2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)10.1109/ACPR.2017.130(900-905)Online publication date: Nov-2017
https://doi.org/10.1109/ACPR.2017.130
Show More Cited By

Index Terms

Learning a physical skill via a computer: a case study exploring Australian Sign Language
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

OzCHI '11: Proceedings of the 23rd Australian Computer-Human Interaction Conference

November 2011

363 pages

ISBN:9781450310901

DOI:10.1145/2071536

Conference Chair:
Duncan Stevenson
Australian National University

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2011

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OzCHI '11

Sponsor:

Human Factors & Ergonomics Soc

OzCHI '11: The Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

November 28 - December 2, 2011

Canberra, Australia

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Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

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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
Falvo VScatalon LFrancine Barbosa E(2020)The Role of Technology to Teaching and Learning Sign Languages: A Systematic Mapping2020 IEEE Frontiers in Education Conference (FIE)10.1109/FIE44824.2020.9274169(1-9)Online publication date: 21-Oct-2020
https://doi.org/10.1109/FIE44824.2020.9274169
Chai XLiu ZLi YYin FChen X(2017)SignInstructor: An Effective Tool for Sign Language Vocabulary Learning2017 4th IAPR Asian Conference on Pattern Recognition (ACPR)10.1109/ACPR.2017.130(900-905)Online publication date: Nov-2017
https://doi.org/10.1109/ACPR.2017.130
Korte JPotter LNielsen S(2012)Designing a mobile video game to help young deaf children learn AuslanProceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers10.5555/2377916.2377964(345-350)Online publication date: 10-Sep-2012
https://dl.acm.org/doi/10.5555/2377916.2377964
Potter LKorte JNielsen S(2012)Sign my worldProceedings of the 24th Australian Computer-Human Interaction Conference10.1145/2414536.2414613(501-504)Online publication date: 26-Nov-2012
https://dl.acm.org/doi/10.1145/2414536.2414613

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Recommendations

Computer skill learning in the workplace: a comparative case study

An e-learning management system for the deaf people

e-learning: recommendations for instructional designers and interface considering learning style