Trap Hunting: Finding Personal Data Management Issues in Next Generation AAC Devices

Joseph Reddington; Lizzie Coles-Kemp

Trap Hunting: Finding Personal Data Management Issues in Next Generation AAC Devices

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

Abstract

Advances in natural language generation and speech processing techniques, combined with changes in the commercial landscape, have brought within reach dramatic improvements in Augmentative Alternative Communication (AAC). These improvements, though overwhelmingly positive, amplify a family of previously unrecognised personal data use problems.
This paper argues that the AAC design and implementation process needs to identify and address personal data use problems. Accordingly, this paper explores personal data management problems and proposes responses.

Original language	Undefined/Unknown
Title of host publication	Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
Place of Publication	Edinburgh, Scotland, UK
Publisher	Association for Computational Linguistics
Pages	32-42
Number of pages	11
Publication status	Published - 1 Jul 2011
Event	Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) - Edinburgh, Scotland, United Kingdom Duration: 31 Jul 2011 → 31 Jul 2011

Conference

Conference	Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT)
Country/Territory	United Kingdom
City	Edinburgh, Scotland
Period	31/07/11 → 31/07/11

Access to Document

http://www.cs.rhul.ac.uk/home/joseph/papers/slpat.pdf

VOME: Visualisation and Other Methods of Expression
Coles-Kemp, L. (PI)
Eng & Phys Sci Res Council EPSRC
1/10/08 → 30/09/11
Project: Research

Cite this

@inproceedings{ce84a50c9c9a4f4e8f5ee7f02e1709f7,

title = "Trap Hunting: Finding Personal Data Management Issues in Next Generation AAC Devices",

abstract = "Advances in natural language generation and speech processing techniques, combined with changes in the commercial landscape, have brought within reach dramatic improvements in Augmentative Alternative Communication (AAC). These improvements, though overwhelmingly positive, amplify a family of previously unrecognised personal data use problems.This paper argues that the AAC design and implementation process needs to identify and address personal data use problems. Accordingly, this paper explores personal data management problems and proposes responses.",

author = "Joseph Reddington and Lizzie Coles-Kemp",

year = "2011",

month = jul,

day = "1",

language = "Undefined/Unknown",

pages = "32--42",

booktitle = "Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies",

publisher = "Association for Computational Linguistics",

note = "Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) ; Conference date: 31-07-2011 Through 31-07-2011",

}

Reddington, J & Coles-Kemp, L 2011, Trap Hunting: Finding Personal Data Management Issues in Next Generation AAC Devices. in Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies. Association for Computational Linguistics, Edinburgh, Scotland, UK, pp. 32-42, Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT), Edinburgh, Scotland, United Kingdom, 31/07/11. <http://www.cs.rhul.ac.uk/home/joseph/papers/slpat.pdf>

Trap Hunting: Finding Personal Data Management Issues in Next Generation AAC Devices. / Reddington, Joseph ; Coles-Kemp, Lizzie.
Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies. Edinburgh, Scotland, UK: Association for Computational Linguistics, 2011. p. 32-42.

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

TY - GEN

T1 - Trap Hunting: Finding Personal Data Management Issues in Next Generation AAC Devices

AU - Reddington, Joseph

AU - Coles-Kemp, Lizzie

PY - 2011/7/1

Y1 - 2011/7/1

N2 - Advances in natural language generation and speech processing techniques, combined with changes in the commercial landscape, have brought within reach dramatic improvements in Augmentative Alternative Communication (AAC). These improvements, though overwhelmingly positive, amplify a family of previously unrecognised personal data use problems.This paper argues that the AAC design and implementation process needs to identify and address personal data use problems. Accordingly, this paper explores personal data management problems and proposes responses.

AB - Advances in natural language generation and speech processing techniques, combined with changes in the commercial landscape, have brought within reach dramatic improvements in Augmentative Alternative Communication (AAC). These improvements, though overwhelmingly positive, amplify a family of previously unrecognised personal data use problems.This paper argues that the AAC design and implementation process needs to identify and address personal data use problems. Accordingly, this paper explores personal data management problems and proposes responses.

M3 - Conference contribution

SP - 32

EP - 42

BT - Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies

PB - Association for Computational Linguistics

CY - Edinburgh, Scotland, UK

T2 - Second Workshop on Speech and Language Processing for Assistive Technologies (SLPAT)

Y2 - 31 July 2011 through 31 July 2011

ER -

Trap Hunting: Finding Personal Data Management Issues in Next Generation AAC Devices

Abstract

Conference

Access to Document

Projects

VOME: Visualisation and Other Methods of Expression

Cite this