University of Hertfordshire

By the same authors

Model of Coordination Flow in Remote Collaborative Interaction

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

Standard

Model of Coordination Flow in Remote Collaborative Interaction. / Trendafilov, Dari; Polani, D.; Murray-Smith, Roderick.

17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015. IEEE, 2016. p. 361-366.

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

Harvard

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. 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

APA

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 (pp. 361-366). IEEE. https://doi.org/10.1109/UKSim.2015.71

Vancouver

Trendafilov D, Polani D, Murray-Smith R. Model of Coordination Flow in Remote Collaborative Interaction. In 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015. IEEE. 2016. p. 361-366 https://doi.org/10.1109/UKSim.2015.71

Author

Trendafilov, Dari ; Polani, D. ; Murray-Smith, Roderick. / Model of Coordination Flow in Remote Collaborative Interaction. 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015. IEEE, 2016. pp. 361-366

Bibtex

@inproceedings{1963245ec73c4c1b9f144cb9ef3d3c9d,
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",
year = "2016",
month = sep,
day = "26",
doi = "10.1109/UKSim.2015.71",
language = "English",
isbn = "978-1-4799-8713-9",
pages = "361--366",
booktitle = "17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) 2015",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Model of Coordination Flow in Remote Collaborative Interaction

AU - Trendafilov, Dari

AU - Polani, D.

AU - Murray-Smith, Roderick

N1 - © 2015 IEEE

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

U2 - 10.1109/UKSim.2015.71

DO - 10.1109/UKSim.2015.71

M3 - Conference contribution

SN - 978-1-4799-8713-9

SP - 361

EP - 366

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

PB - IEEE

T2 - UKSim-AMSS 17th Int Conf on Modelling and Simulation

Y2 - 25 March 2015 through 27 March 2015

ER -