Model of Coordination Flow in Remote Collaborative Interaction

Dari Trendafilov; D. Polani; Roderick Murray-Smith

doi:10.1109/UKSim.2015.71

Model of Coordination Flow in Remote Collaborative Interaction

Dari Trendafilov, D. Polani, Roderick Murray-Smith

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

271 Downloads (Pure)

Abstract

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
Interaction.

Original language	English
Title of host publication	17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	361-366
Number of pages	6
ISBN (Print)	978-1-4799-8713-9
DOIs	https://doi.org/10.1109/UKSim.2015.71
Publication status	Published - 26 Sept 2016
Event	UKSim-AMSS 17th Int Conf on Modelling and Simulation - Cambridge, United Kingdom Duration: 25 Mar 2015 → 27 Mar 2015

Conference

Conference	UKSim-AMSS 17th Int Conf on Modelling and Simulation
Country/Territory	United Kingdom
City	Cambridge
Period	25/03/15 → 27/03/15

Keywords

Coordination
Collaboration
Uncertainty
Human Factors
Information theory

Access to Document

10.1109/UKSim.2015.71

if_uksim15_finalAccepted author manuscript, 561 KB
DT- IEEE - AAM - updated.docxAccepted author manuscript, 651 KBLicence: Other

Cite this

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title = "Model of Coordination Flow in Remote Collaborative Interaction",

abstract = "We present an information-theoretic approach for modelling coordination inhuman-human interaction and measuring coordination flows in a remotecollaborative tracking task. Building on Shannon's mutual information,coordination flow measures, for stochastic collaborative systems, how muchinfluence, the environment has on the joint control of collaboratingparties. We demonstrate the application of the approach on interactivehuman data recorded in a user study and reveal the amount of effortrequired for creating rigorous models. Our initial results suggest thepotential coordination flow has - as an objective, task-independent measure- in supporting designers of human collaborative systems and in providingbetter theoretical foundations for the science of Human-ComputerInteraction.",

keywords = "Coordination, Collaboration, Uncertainty, Human Factors, Information theory",

author = "Dari Trendafilov and D. Polani and Roderick Murray-Smith",

note = "{\textcopyright} 2015 IEEE; UKSim-AMSS 17th Int Conf on Modelling and Simulation ; Conference date: 25-03-2015 Through 27-03-2015",

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doi = "10.1109/UKSim.2015.71",

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Trendafilov, 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. Institute of Electrical and Electronics Engineers (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

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AU - Trendafilov, Dari

AU - Polani, D.

AU - Murray-Smith, Roderick

PY - 2016/9/26

Y1 - 2016/9/26

N2 - We present an information-theoretic approach for modelling coordination inhuman-human interaction and measuring coordination flows in a remotecollaborative tracking task. Building on Shannon's mutual information,coordination flow measures, for stochastic collaborative systems, how muchinfluence, the environment has on the joint control of collaboratingparties. We demonstrate the application of the approach on interactivehuman data recorded in a user study and reveal the amount of effortrequired for creating rigorous models. Our initial results suggest thepotential coordination flow has - as an objective, task-independent measure- in supporting designers of human collaborative systems and in providingbetter theoretical foundations for the science of Human-ComputerInteraction.

AB - We present an information-theoretic approach for modelling coordination inhuman-human interaction and measuring coordination flows in a remotecollaborative tracking task. Building on Shannon's mutual information,coordination flow measures, for stochastic collaborative systems, how muchinfluence, the environment has on the joint control of collaboratingparties. We demonstrate the application of the approach on interactivehuman data recorded in a user study and reveal the amount of effortrequired for creating rigorous models. Our initial results suggest thepotential coordination flow has - as an objective, task-independent measure- in supporting designers of human collaborative systems and in providingbetter theoretical foundations for the science of Human-ComputerInteraction.

KW - Coordination

KW - Collaboration

KW - Uncertainty

KW - Human Factors

KW - Information theory

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DO - 10.1109/UKSim.2015.71

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BT - 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015

PB - Institute of Electrical and Electronics Engineers (IEEE)

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