Model of Coordination Flow in Remote Collaborative Interaction

Dari Trendafilov, D. Polani, Roderick Murray-Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
263 Downloads (Pure)


We present an information-theoretic approach for modelling coordination in
human-human interaction and measuring coordination flows in a remote
collaborative tracking task. Building on Shannon's mutual information,
coordination flow measures, for stochastic collaborative systems, how much
influence, the environment has on the joint control of collaborating
parties. We demonstrate the application of the approach on interactive
human data recorded in a user study and reveal the amount of effort
required for creating rigorous models. Our initial results suggest the
potential coordination flow has - as an objective, task-independent measure
- in supporting designers of human collaborative systems and in providing
better theoretical foundations for the science of Human-Computer
Original languageEnglish
Title of host publication17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)978-1-4799-8713-9
Publication statusPublished - 26 Sept 2016
EventUKSim-AMSS 17th Int Conf on Modelling and Simulation - Cambridge, United Kingdom
Duration: 25 Mar 201527 Mar 2015


ConferenceUKSim-AMSS 17th Int Conf on Modelling and Simulation
Country/TerritoryUnited Kingdom


  • Coordination
  • Collaboration
  • Uncertainty
  • Human Factors
  • Information theory

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