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Information visualisation in the user interface for ugmentative and alternative communication

Arnott, John, Zhang, Leishi, O'Mara, David, Alm, Norman, Taylor, Andrew (2007) Information visualisation in the user interface for ugmentative and alternative communication. Technology and Disability, 18 (3). pp. 147-161. ISSN 0144 929X. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14609)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Abstract

This study investigated the possibility of using Information Visualisation (IV) in the user interface of Augmentative

and Alternative Communication (AAC) systems. AAC systems exist to assist people to overcome communication handicaps.

Computer-based AAC systems can contain stored communication material for people with impaired communication to retrieve

and use during interaction. As the size of the stored information corpus in an AAC system increases, the task of searching and

retrieving items from that corpus will become more demanding, which will make it less easy for someone to successfully access

and use such material. IV has therefore been investigated here as a way of accessing AAC content. A prototype visualisation

interface was developed as a means of retrieving stored biographical text in an AAC context. Trial of this prototype showed that it

was possible for people to successfully retrieve the stored information with the IV-based user interface, indicating that an IV-based

interface could have potential within AAC. Further work could be pursued to investigate performance with larger corpora and

alternative visualisation metaphors; alternative metaphors (using timelines, for example) may be preferred by different people

who use AAC.

Item Type: Article
Uncontrolled keywords: Information visualisation, user interfaces, augmentative and alternative communication, assistive technology, human computer interaction
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:05 UTC
Last Modified: 16 Nov 2021 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14609 (The current URI for this page, for reference purposes)
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