Mutual Information as a Measure of Coordination in Collaborative Interaction

Dari Trendafilov, Alexander Maye, D. Polani, Roderick Murray-Smith, Andreas Engel

Research output: Contribution to conferencePaperpeer-review

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Abstract

We present an information-theoretic approach for quantifying the level of coordination between cooperating parties engaged in a computer-mediated collaborative interaction. The approach builds on Shannon’s mutual information, as a task-independent objective measure, which captures the level of corelation between the actions of interacting agents. We introduce the approach through two characteristic examples and discuss the challenges in designing a reliable measure and the amount of modelling effort required. Our initial results
suggest the potential of this measure in supporting designers of collaborative systems and in providing more solid theoretical foundations for the science of Human-Computer Interaction.
Original languageEnglish
Publication statusPublished - 13 Jul 2015
EventBritish HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM) - Lincoln, United Kingdom
Duration: 13 Jul 2015 → …

Workshop

WorkshopBritish HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM)
Country/TerritoryUnited Kingdom
CityLincoln
Period13/07/15 → …

Keywords

  • Coordination
  • Collaboration
  • Information theory

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