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 proceedingConference contribution

Published

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 languageUndefined/Unknown
Title of host publicationProceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies
Place of PublicationEdinburgh, Scotland, UK
PublisherAssociation for Computational Linguistics
Pages32-42
Number of pages11
Publication statusPublished - 1 Jul 2011
EventSecond Workshop on Speech and Language Processing for Assistive Technologies (SLPAT) - Edinburgh, Scotland, United Kingdom
Duration: 31 Jul 201131 Jul 2011

Conference

ConferenceSecond Workshop on Speech and Language Processing for Assistive Technologies (SLPAT)
CountryUnited Kingdom
CityEdinburgh, Scotland
Period31/07/1131/07/11
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 4060526