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dc.contributor.authorTrendafilov, Dari
dc.contributor.authorPolani, D.
dc.contributor.authorMurray-Smith, Roderick
dc.date.accessioned2019-04-12T14:08:52Z
dc.date.available2019-04-12T14:08:52Z
dc.date.issued2016-09-26
dc.identifier.citationTrendafilov , D , Polani , D & Murray-Smith , R 2016 , Model of Coordination Flow in Remote Collaborative Interaction . in 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015 . IEEE , pp. 361-366 , UKSim-AMSS 17th Int Conf on Modelling and Simulation , Cambridge , United Kingdom , 25/03/15 . https://doi.org/10.1109/UKSim.2015.71
dc.identifier.citationconference
dc.identifier.isbn978-1-4799-8713-9
dc.identifier.otherPURE: 8202162
dc.identifier.otherPURE UUID: 1963245e-c73c-4c1b-9f14-4cb9ef3d3c9d
dc.identifier.otherBibtex: urn:a98fc2c2a7e0e074318b73263e3aad8e
dc.identifier.otherScopus: 84991780727
dc.identifier.otherORCID: /0000-0002-3233-5847/work/86098101
dc.identifier.urihttp://hdl.handle.net/2299/21263
dc.description© 2015 IEEE
dc.description.abstractWe 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 Interaction.en
dc.format.extent6
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartof17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015
dc.subjectCoordination
dc.subjectCollaboration
dc.subjectUncertainty
dc.subjectHuman Factors
dc.subjectInformation theory
dc.titleModel of Coordination Flow in Remote Collaborative Interactionen
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
rioxxterms.versionAM
rioxxterms.versionAM
rioxxterms.versionofrecordhttps://doi.org/10.1109/UKSim.2015.71
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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