Scenarios for Embracing Errorful Automatic Speech Recognition

Kraal, Ben J., Dugdale, Anni, & Collings, Penny (2006) Scenarios for Embracing Errorful Automatic Speech Recognition. In OZCHI 2006, 20-24 November, Sydney.

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Errorful speech recognition can be embraced in the design of automatic speech recognition (ASR) support for the Magistrates Court. In this paper we describe processes and scenarios that led to a design by examining work practices and considering a more realistic understanding of ASR technology than is promoted in ASR literature.

This paper also uses scenarios in a novel way to package and communicate field work data in a way that is accessible to a wide range of stakeholders.

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ID Code: 5727
Item Type: Conference Paper
Refereed: Yes
Keywords: Automatic Speech Recognition, social worlds, scenarios, field work, actor network theory, human computer interaction
DOI: 10.1145/1228175.1228240
ISBN: 1595935452
Subjects: Australian and New Zealand Standard Research Classification > STUDIES IN HUMAN SOCIETY (160000) > SOCIOLOGY (160800) > Sociological Methodology and Research Methods (160807)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Computer-Human Interaction (080602)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Copyright Owner: Copyright 2006 ACM Press
Copyright Statement: Reproduced in accordance with the copyright policy of the publisher.
Deposited On: 15 Dec 2006 00:00
Last Modified: 29 Feb 2012 13:28

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