Abstract
This paper presents the speech recognition accuracy testing and usability evaluation of a mixed-initiative dialogue multimodal interface for the ATTAIN* travel information system [1]. Experimental results show that although the speech recognition accuracy of the interface is less (sample accuracy rate 74.5%) than that of an equivalent directed-dialogue interface (sample accuracy rate 88.5%), the usability is seen to be significantly improved in terms of effectiveness, efficiency, learnability and user satisfaction.
Advanced Traffic and Travel Information System
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
NTU: Advanced Traffic and Travel Information system. http://dcm.ntu.ac.uk/RTTS/Projects/grr32468/attain.html, accessed on 12/08/2004
Miller, M: VoiceXML: 10 Projects to Voice Enable Your Web Site. John Wiley & Sons, 2002
W3C: Voice extensible Markup Language (VoiceXML) versiton 1.0. http://www.w3.org/TR/2000/NOTE-voicexml-20000505/, accessed on 12/08/2004
Zhao, B., Allen, T. & Bargiela, A.: Directed-dialogue Speech-enabled Query Interface for the ATTAIN Travel Information System. In: Proceedings of PREP, Hertfordshire, 2004
Kosonen, I. & Bargielar A.: A Distributed Traffic Monitoring and Information System. In: Journal of Geographic Information and Decision Analysis 1999, 3(1)31–40
Landaruer, T. K. & Nielsen, J.: A Mathematical Model of the Finding of Usability Problems. In: Proceeding of INTERCHI, Amsterdam, Netherlands, 1993
Nielsen, J: Why You Only Need to Test With 5 Users. http://www.useit.com/alertbox/20000319.html, accessed on 02/08/2004
Komorita, S.: Attitude content, intensity and the neutral point on a Likert scale. In: Journal of Social Psychology 1963, 61, 327–334
Sauro, J.: Restoring Confidence in Usability Results. http://www.measuringusability.com/conf_intervals.htm, accessed on 12/08/2004
Sauro, J.: You don’t need a large sample of users to obtain meaningful data. http://www.measuringusability.com/samplecontinuous.htm, accessed on 12/08/2004
Boyce, S. & Gorin, A.: User Interface Issues for Natural Spoken Dialog Systems. In: Proceedings of International Symposium for Spoken Dialogue, Philadelphia, 1996
Pitrelli, J. F. & Perrone, M. P.: Confidence-Scoring Post-Processing for Off-Line Handwritten-Character Recognition Verification. In: Proceedings the Seventh International Conference on Document Analysis and Recognition, Edinburgh, Scotland, 2003
Hataoka, N., Obuchi, Y., Mitamura, T. & Nyberg E.: Robust Speech Dialog Interface for Car Telematics Services. In: Proceedings of 2004 IEEE Consumer Communications and Networking Conference, Las Vegas, 2004
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag London Limited
About this paper
Cite this paper
Zhao, B., Allen, T., Bargiela, A. (2005). Evaluation of a Mixed-Initiative Dialogue Multimodal Interface. In: Macintosh, A., Ellis, R., Allen, T. (eds) Applications and Innovations in Intelligent Systems XII. SGAI 2004. Springer, London. https://doi.org/10.1007/1-84628-103-2_19
Download citation
DOI: https://doi.org/10.1007/1-84628-103-2_19
Publisher Name: Springer, London
Print ISBN: 978-1-85233-908-1
Online ISBN: 978-1-84628-103-7
eBook Packages: Computer ScienceComputer Science (R0)