MIC, an interactive sign language teaching system

Han Duy Phan, Kirsten Ellis, Alan Dorin

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Abstract

We propose to demonstrate a novel sign language teaching system, My Interactive Coach (MIC). This system can teach learners Australian signs, allow them to practice, record their practiced performance, and provide different forms of visual feedback on how well they perform signs.

Original languageEnglish
Title of host publicationProceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018)
Subtitle of host publicationMelbourne 4 – 7 December 2018
EditorsDana McKay, Jenny Waycott, Ann Morrison, Jaz Hee-Jeong Choi, Artur Lugmayr, Mark Billinghurst, Ryan Kelly, George Buchanan, Duncan Stevenson
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages544-547
Number of pages4
ISBN (Electronic)9781450361880
DOIs
Publication statusPublished - 2018
EventAustralian Computer Human Interaction Conference 2018 - Melbourne, Australia
Duration: 4 Dec 20187 Dec 2018
Conference number: 30th
http://www.ozchi.org/2018/

Conference

ConferenceAustralian Computer Human Interaction Conference 2018
Abbreviated titleOzCHI 2018
CountryAustralia
CityMelbourne
Period4/12/187/12/18
Internet address

Keywords

  • Accessibility
  • HCI
  • Motor skill
  • Sign language
  • Visual feedback
  • Visualization

Cite this

Phan, H. D., Ellis, K., & Dorin, A. (2018). MIC, an interactive sign language teaching system. In D. McKay, J. Waycott, A. Morrison, J. Hee-Jeong Choi, A. Lugmayr, M. Billinghurst, R. Kelly, G. Buchanan, ... D. Stevenson (Eds.), Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018): Melbourne 4 – 7 December 2018 (pp. 544-547). New York NY USA: Association for Computing Machinery (ACM). https://doi.org/10.1145/3292147.3292237
Phan, Han Duy ; Ellis, Kirsten ; Dorin, Alan. / MIC, an interactive sign language teaching system. Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018): Melbourne 4 – 7 December 2018. editor / Dana McKay ; Jenny Waycott ; Ann Morrison ; Jaz Hee-Jeong Choi ; Artur Lugmayr ; Mark Billinghurst ; Ryan Kelly ; George Buchanan ; Duncan Stevenson. New York NY USA : Association for Computing Machinery (ACM), 2018. pp. 544-547
@inproceedings{0837e87613e44e36b77c8cf557b79062,
title = "MIC, an interactive sign language teaching system",
abstract = "We propose to demonstrate a novel sign language teaching system, My Interactive Coach (MIC). This system can teach learners Australian signs, allow them to practice, record their practiced performance, and provide different forms of visual feedback on how well they perform signs.",
keywords = "Accessibility, HCI, Motor skill, Sign language, Visual feedback, Visualization",
author = "Phan, {Han Duy} and Kirsten Ellis and Alan Dorin",
year = "2018",
doi = "10.1145/3292147.3292237",
language = "English",
pages = "544--547",
editor = "Dana McKay and Jenny Waycott and Ann Morrison and {Hee-Jeong Choi}, Jaz and Artur Lugmayr and Mark Billinghurst and Ryan Kelly and George Buchanan and Duncan Stevenson",
booktitle = "Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018)",
publisher = "Association for Computing Machinery (ACM)",
address = "United States",

}

Phan, HD, Ellis, K & Dorin, A 2018, MIC, an interactive sign language teaching system. in D McKay, J Waycott, A Morrison, J Hee-Jeong Choi, A Lugmayr, M Billinghurst, R Kelly, G Buchanan & D Stevenson (eds), Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018): Melbourne 4 – 7 December 2018. Association for Computing Machinery (ACM), New York NY USA, pp. 544-547, Australian Computer Human Interaction Conference 2018, Melbourne, Australia, 4/12/18. https://doi.org/10.1145/3292147.3292237

MIC, an interactive sign language teaching system. / Phan, Han Duy; Ellis, Kirsten; Dorin, Alan.

Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018): Melbourne 4 – 7 December 2018. ed. / Dana McKay; Jenny Waycott; Ann Morrison; Jaz Hee-Jeong Choi; Artur Lugmayr; Mark Billinghurst; Ryan Kelly; George Buchanan; Duncan Stevenson. New York NY USA : Association for Computing Machinery (ACM), 2018. p. 544-547.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

TY - GEN

T1 - MIC, an interactive sign language teaching system

AU - Phan, Han Duy

AU - Ellis, Kirsten

AU - Dorin, Alan

PY - 2018

Y1 - 2018

N2 - We propose to demonstrate a novel sign language teaching system, My Interactive Coach (MIC). This system can teach learners Australian signs, allow them to practice, record their practiced performance, and provide different forms of visual feedback on how well they perform signs.

AB - We propose to demonstrate a novel sign language teaching system, My Interactive Coach (MIC). This system can teach learners Australian signs, allow them to practice, record their practiced performance, and provide different forms of visual feedback on how well they perform signs.

KW - Accessibility

KW - HCI

KW - Motor skill

KW - Sign language

KW - Visual feedback

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=85061241538&partnerID=8YFLogxK

U2 - 10.1145/3292147.3292237

DO - 10.1145/3292147.3292237

M3 - Conference Paper

SP - 544

EP - 547

BT - Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018)

A2 - McKay, Dana

A2 - Waycott, Jenny

A2 - Morrison, Ann

A2 - Hee-Jeong Choi, Jaz

A2 - Lugmayr, Artur

A2 - Billinghurst, Mark

A2 - Kelly, Ryan

A2 - Buchanan, George

A2 - Stevenson, Duncan

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

ER -

Phan HD, Ellis K, Dorin A. MIC, an interactive sign language teaching system. In McKay D, Waycott J, Morrison A, Hee-Jeong Choi J, Lugmayr A, Billinghurst M, Kelly R, Buchanan G, Stevenson D, editors, Proceedings of the 30th Australian Computer-Human Interaction Conference (OzCHI 2018): Melbourne 4 – 7 December 2018. New York NY USA: Association for Computing Machinery (ACM). 2018. p. 544-547 https://doi.org/10.1145/3292147.3292237