Scenarios for Embracing Errorful Automatic Speech Recognition

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

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DOI : 10.1145/1228175.1228240

Abstract

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.

ID Code:	5727
Item Type:	Conference Paper
Keywords :	Automatic Speech Recognition, social worlds, scenarios, field work, actor network theory, human computer interaction
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:	QUT Faculties and 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
Last Modified:	23 Jan 2009 04:35

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