Exploring new designs of predictive AAC with disabled participants

Annalu Waller, Rolf Black, Zulqarnain Rashid

Research output: Contribution to conferencePaper

Abstract

Word prediction has been used to enhance the typing speed of users with dexterity difficulties since the early 1980s]. This technology has also been found to support people with dyslexia and emerging literacy. However, there has been a number of research studies which have questioned the potential for prediction to increase the typing rate. This paper presents a study in which participants with severe speech and physical impairments (SSPI) were involved in the design of innovative predictive interfaces to explore novel ways of presenting text predictions.
Original languageEnglish
Publication statusPublished - 15 Sep 2017
EventTechnology for Independence Conference 2017 - St. Mary’s Church and Conference Centre, Sheffield, United Kingdom
Duration: 15 Sep 201715 Sep 2017
https://sites.google.com/sheffield.ac.uk/t4i2017/home

Conference

ConferenceTechnology for Independence Conference 2017
Abbreviated titleT4I2017
CountryUnited Kingdom
CitySheffield
Period15/09/1715/09/17
Internet address

Fingerprint

Dyslexia
Technology
Research
Literacy

Keywords

  • Assistive technologies

Cite this

Waller, A., Black, R., & Rashid, Z. (2017). Exploring new designs of predictive AAC with disabled participants. Paper presented at Technology for Independence Conference 2017, Sheffield, United Kingdom.
Waller, Annalu ; Black, Rolf ; Rashid, Zulqarnain. / Exploring new designs of predictive AAC with disabled participants. Paper presented at Technology for Independence Conference 2017, Sheffield, United Kingdom.
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Waller, A, Black, R & Rashid, Z 2017, 'Exploring new designs of predictive AAC with disabled participants' Paper presented at Technology for Independence Conference 2017, Sheffield, United Kingdom, 15/09/17 - 15/09/17, .

Exploring new designs of predictive AAC with disabled participants. / Waller, Annalu; Black, Rolf; Rashid, Zulqarnain.

2017. Paper presented at Technology for Independence Conference 2017, Sheffield, United Kingdom.

Research output: Contribution to conferencePaper

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AU - Black, Rolf

AU - Rashid, Zulqarnain

PY - 2017/9/15

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N2 - Word prediction has been used to enhance the typing speed of users with dexterity difficulties since the early 1980s]. This technology has also been found to support people with dyslexia and emerging literacy. However, there has been a number of research studies which have questioned the potential for prediction to increase the typing rate. This paper presents a study in which participants with severe speech and physical impairments (SSPI) were involved in the design of innovative predictive interfaces to explore novel ways of presenting text predictions.

AB - Word prediction has been used to enhance the typing speed of users with dexterity difficulties since the early 1980s]. This technology has also been found to support people with dyslexia and emerging literacy. However, there has been a number of research studies which have questioned the potential for prediction to increase the typing rate. This paper presents a study in which participants with severe speech and physical impairments (SSPI) were involved in the design of innovative predictive interfaces to explore novel ways of presenting text predictions.

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M3 - Paper

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Waller A, Black R, Rashid Z. Exploring new designs of predictive AAC with disabled participants. 2017. Paper presented at Technology for Independence Conference 2017, Sheffield, United Kingdom.