Scenarios for embracing errorful automatic speech recognition

Authors:
Ben Kraal;Anni Dugdale;Penny Collings
Affiliations:
School of Information Sciences and Engineering and Queensland University of Technology;University of Canberra, ACT, Australia;School of Information Sciences and Engineering
Venue:
OZCHI '06 Proceedings of the 18th Australia conference on Computer-Human Interaction: Design: Activities, Artefacts and Environments
Year:
2006

Citing 2
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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.