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Vocal interactivity in-and-between humans, animals and robots
University of Sheffield, United Kingdom.
University of Sheffield, United Kingdom.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Interaction Lab)ORCID iD: 0000-0003-1177-4119
2016 (English)In: Frontiers in Robotics and AI, ISSN 1534-5955, E-ISSN 1662-3770, Vol. 3, 61Article, review/survey (Refereed) Published
Abstract [en]

Almost all animals exploit vocal signals for a range of ecologically-motivated purposes: detecting predators/prey and marking territory, expressing emotions, establishing social relations and sharing information. Whether it is a bird raising an alarm, a whale calling to potential partners, a dog responding to human commands, a parent reading a story with a child, or a business-person accessing stock prices using \emph{Siri}, vocalisation provides a valuable communication channel through which behaviour may be coordinated and controlled, and information may be distributed and acquired. Indeed, the ubiquity of vocal interaction has led to research across an extremely diverse array of fields, from assessing animal welfare, to understanding the precursors of human language, to developing voice-based human-machine interaction. Opportunities for cross-fertilisation between these fields abound; for example, using artificial cognitive agents to investigate contemporary theories of language grounding, using machine learning to analyse different habitats or adding vocal expressivity to the next generation of language-enabled autonomous social agents. However, much of the research is conducted within well-defined disciplinary boundaries, and many fundamental issues remain. This paper attempts to redress the balance by presenting a comparative review of vocal interaction within-and-between humans, animals and artificial agents (such as robots), and it identifies a rich set of open research questions that may benefit from an inter-disciplinary analysis.

Place, publisher, year, edition, pages
2016. Vol. 3, 61
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:his:diva-12984DOI: 10.3389/frobt.2016.00061ISI: 000389272100001OAI: oai:DiVA.org:his-12984DiVA: diva2:975084
Available from: 2016-09-28 Created: 2016-09-28 Last updated: 2016-12-29Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf