Moore, R.K. orcid.org/0000-0003-0065-3311 (2019) Vocal interactivity in crowds, flocks and swarms : implications for voice user interfaces. In: Dassow, A., Marxer, R., Moore, R.K. and Stowell, D., (eds.) Proceedings of the 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots (VIHAR 2019). 2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots (VIHAR 2019), 29-30 Aug 2019, London, UK. Ricard Marxer , pp. 94-99. ISBN 9782956202912
Abstract
Recent years have seen an explosion in the availability of Voice User Interfaces. However, user surveys suggest that there are issues with respect to usability, and it has been hypothesised that contemporary voice-enabled systems are missing crucial behaviours relating to user engagement and vocal interactivity. However, it is well established that such ostensive behaviours are ubiquitous in the animal kingdom, and that vocalisation provides a means through which interaction may be coordinated and managed between individuals and within groups. Hence, this paper reports results from a study aimed at identifying generic mechanisms that might underpin coordinated collective vocal behaviour with a particular focus on closed-loop negative-feedback control as a powerful regulatory process. A computer-based real-time simulation of vocal interactivity is described which has provided a number of insights, including the enumeration of a number of key control variables that may be worthy of further investigation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2019 The Author. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Nov 2019 15:01 |
Last Modified: | 26 Nov 2019 17:43 |
Published Version: | http://vihar-2019.vihar.org/assets/VIHAR_2019_proc... |
Status: | Published |
Publisher: | Ricard Marxer |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:153057 |