Scenarios for embracing errorful automatic speech recognition
Pages 341 - 344
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.
References
[1]
Bødker, S. (2000). "Scenarios in user-centred design - setting the stage for reflection and action." Interacting with Computers 13: 61--75.
[2]
Callon, M. (1986). Some elements of a sociology of translation: domesticaion of the scallopes and fishermen of St Brieuc Bay. Power, Action and Belief. J. Law, Routledge and Kegan Paul: 196--233.
[3]
Kraal, B. (2006). Considering Design for Automatic Speech Recognition in Use. School of Information Sciences and Engineering,. Canberra, University of Canberra.
[4]
Kraal, B., P. Collings, et al. (2004). An Ethnography of Speech Recognition. Proceedings of OZCHI 2004. Wollongong, Australia.
[5]
Latour, B. (1987). Science in action: how to follow scientists and engineers through society. Cambridge, Mass, Harvard University Press.
[6]
Law, J. (2003). Traduction/trahision: Notes on ANT. 2005.
[7]
Whittaker, S., J. Hirschberg, et al. (2002). SCANMail: a voicemail interface that makes speech browsable, readable and searchable. Proceedings of the SIGCHI conference on Human factors in computing systems: Changing our world, changing ourselves. Minneapolis, Minnesota, USA, ACM Press: 275--282.
[8]
Whittaker, S., J. Hirschberg, et al. (1999). SCAN: designing and evaluating user interfaces to support retrieval from speech archives. Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval. Berkeley, California, United States, ACM Press: 26--33.
Index Terms
- Scenarios for embracing errorful automatic speech recognition
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Published In
November 2006
434 pages
ISBN:1595935452
DOI:10.1145/1228175
- Conference Chair:
- Toni Robertson,
- Editors:
- Jesper Kjeldskov,
- Jeni Paay
Copyright © 2006 ACM.
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Association for Computing Machinery
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Published: 20 November 2006
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OZCHI '06 Paper Acceptance Rate 36 of 70 submissions, 51%;
Overall Acceptance Rate 362 of 729 submissions, 50%
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