Phoneme-based predictive text entry interface

Ha Trinh; Annalu Waller; Keith Vertanen; Per Ola Kristensson; Vicki L. Hanson

doi:10.1145/2661334.2661424

Phoneme-based predictive text entry interface

Ha Trinh (Lead / Corresponding author), Annalu Waller (Lead / Corresponding author), Keith Vertanen (Lead / Corresponding author), Per Ola Kristensson (Lead / Corresponding author), Vicki L. Hanson (Lead / Corresponding author)

Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Phoneme-based text entry provides an alternative typing method for nonspeaking individuals who often experience difficulties in orthographic spelling. In this paper, we investigate the application of rate enhancement strategies to improve the user performance of phoneme-based text entry systems. We have developed a phoneme-based predictive typing system, which employs statistical language modeling techniques to dynamically reduce the phoneme search space and offer accurate word predictions. Results of a case study with a nonspeaking participant demonstrated that our rate enhancement strategies led to improved text entry speed and error rates.

Original language	English
Title of host publication	ASSETS '14 Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	351-352
Number of pages	2
ISBN (Electronic)	9781450327206
DOIs	https://doi.org/10.1145/2661334.2661424
Publication status	Published - 20 Oct 2014
Event	16th International ACM SIGACCESS Conference on Computers and Accessibility - Hyatt Regency Rochester Hotel, Rochester, United States Duration: 20 Oct 2014 → 22 Oct 2014 http://assets14.sigaccess.org/ http://assets14.sigaccess.org/ (Link to Conference website)

Conference

Conference	16th International ACM SIGACCESS Conference on Computers and Accessibility
Abbreviated title	ASSETS 2014
Country/Territory	United States
City	Rochester
Period	20/10/14 → 22/10/14
Internet address	http://assets14.sigaccess.org/ http://assets14.sigaccess.org/ (Link to Conference website)

Access to Document

10.1145/2661334.2661424

Cite this

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title = "Phoneme-based predictive text entry interface",

abstract = "Phoneme-based text entry provides an alternative typing method for nonspeaking individuals who often experience difficulties in orthographic spelling. In this paper, we investigate the application of rate enhancement strategies to improve the user performance of phoneme-based text entry systems. We have developed a phoneme-based predictive typing system, which employs statistical language modeling techniques to dynamically reduce the phoneme search space and offer accurate word predictions. Results of a case study with a nonspeaking participant demonstrated that our rate enhancement strategies led to improved text entry speed and error rates.",

author = "Ha Trinh and Annalu Waller and Keith Vertanen and Kristensson, {Per Ola} and Hanson, {Vicki L.}",

year = "2014",

month = oct,

day = "20",

doi = "10.1145/2661334.2661424",

language = "English",

pages = "351--352",

booktitle = "ASSETS '14 Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility",

publisher = "Association for Computing Machinery",

note = "16th International ACM SIGACCESS Conference on Computers and Accessibility , ASSETS 2014 ; Conference date: 20-10-2014 Through 22-10-2014",

url = "http://assets14.sigaccess.org/, http://assets14.sigaccess.org/",

}

Trinh, H, Waller, A, Vertanen, K, Kristensson, PO & Hanson, VL 2014, Phoneme-based predictive text entry interface. in ASSETS '14 Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility. Association for Computing Machinery, New York, pp. 351-352, 16th International ACM SIGACCESS Conference on Computers and Accessibility , Rochester, United States, 20/10/14. https://doi.org/10.1145/2661334.2661424

Phoneme-based predictive text entry interface. / Trinh, Ha (Lead / Corresponding author); Waller, Annalu (Lead / Corresponding author); Vertanen, Keith (Lead / Corresponding author) et al.
ASSETS '14 Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility. New York: Association for Computing Machinery, 2014. p. 351-352.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Phoneme-based text entry provides an alternative typing method for nonspeaking individuals who often experience difficulties in orthographic spelling. In this paper, we investigate the application of rate enhancement strategies to improve the user performance of phoneme-based text entry systems. We have developed a phoneme-based predictive typing system, which employs statistical language modeling techniques to dynamically reduce the phoneme search space and offer accurate word predictions. Results of a case study with a nonspeaking participant demonstrated that our rate enhancement strategies led to improved text entry speed and error rates.

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ER -

Phoneme-based predictive text entry interface

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Waller, Annalu

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Phoneme-based predictive text entry interface

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Waller, Annalu

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