@inproceedings{0bfc02f61eb5403cbb2d226d1ebb100d,
title = "Model of Coordination Flow in Remote Collaborative Interaction",
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 for supporting designers of human collaborative systems and for providing better theoretical foundations for the science of Human-Computer Interaction.",
keywords = "Collaboration, Coordination, Human Factors, Information theory, Uncertainty",
author = "Dari Trendafilov and Daniel Polani and Roderick Murray-Smith",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th UKSim-AMSS International Conference on Computer Modelling and Simulation, UKSim 2015 ; Conference date: 25-03-2015 Through 27-03-2015",
year = "2016",
month = sep,
day = "23",
doi = "10.1109/UKSim.2015.71",
language = "English",
series = "Proceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "361--366",
editor = "Richard Cant and Alessandra Orsoni and Ismail Saad and David Al-Dabass and Zuwairie Ibrahim",
booktitle = "Proceedings - UKSim-AMSS 17th International Conference on Computer Modelling and Simulation, UKSim 2015",
address = "United States",
}