University of Hertfordshire

By the same authors

Mutual Information as a Measure of Coordination in Collaborative Interaction

Research output: Contribution to conferencePaperpeer-review

Standard

Mutual Information as a Measure of Coordination in Collaborative Interaction. / Trendafilov, Dari; Maye, Alexander; Polani, D.; Murray-Smith, Roderick; Engel, Andreas.

2015. Paper presented at British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM), Lincoln, United Kingdom.

Research output: Contribution to conferencePaperpeer-review

Harvard

Trendafilov, D, Maye, A, Polani, D, Murray-Smith, R & Engel, A 2015, 'Mutual Information as a Measure of Coordination in Collaborative Interaction', Paper presented at British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM), Lincoln, United Kingdom, 13/07/15.

APA

Trendafilov, D., Maye, A., Polani, D., Murray-Smith, R., & Engel, A. (2015). Mutual Information as a Measure of Coordination in Collaborative Interaction. Paper presented at British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM), Lincoln, United Kingdom.

Vancouver

Trendafilov D, Maye A, Polani D, Murray-Smith R, Engel A. Mutual Information as a Measure of Coordination in Collaborative Interaction. 2015. Paper presented at British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM), Lincoln, United Kingdom.

Author

Trendafilov, Dari ; Maye, Alexander ; Polani, D. ; Murray-Smith, Roderick ; Engel, Andreas. / Mutual Information as a Measure of Coordination in Collaborative Interaction. Paper presented at British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM), Lincoln, United Kingdom.

Bibtex

@conference{8c57efbeec7b4fee83eecfc5feabb808,
title = "Mutual Information as a Measure of Coordination in Collaborative Interaction",
abstract = "We present an information-theoretic approach for quantifying the level of coordination between cooperating parties engaged in a computer-mediated collaborative interaction. The approach builds on Shannon{\textquoteright}s mutual information, as a task-independent objective measure, which captures the level of corelation between the actions of interacting agents. We introduce the approach through two characteristic examples and discuss the challenges in designing a reliable measure and the amount of modelling effort required. Our initial resultssuggest the potential of this measure in supporting designers of collaborative systems and in providing more solid theoretical foundations for the science of Human-Computer Interaction.",
keywords = "Coordination, Collaboration, Information theory",
author = "Dari Trendafilov and Alexander Maye and D. Polani and Roderick Murray-Smith and Andreas Engel",
note = "Dari Trendafilov, Alexander Maye, D. Polani, Roderick Murray-Smith, Andreas Engel, {\textquoteleft}Mutual Information as a Measure of Coordination in Collaborative Interaction{\textquoteright}, paper presented at the British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM), Lincoln, UK, 13 July, 2005. ; British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM) ; Conference date: 13-07-2015",
year = "2015",
month = jul,
day = "13",
language = "English",

}

RIS

TY - CONF

T1 - Mutual Information as a Measure of Coordination in Collaborative Interaction

AU - Trendafilov, Dari

AU - Maye, Alexander

AU - Polani, D.

AU - Murray-Smith, Roderick

AU - Engel, Andreas

N1 - Dari Trendafilov, Alexander Maye, D. Polani, Roderick Murray-Smith, Andreas Engel, ‘Mutual Information as a Measure of Coordination in Collaborative Interaction’, paper presented at the British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM), Lincoln, UK, 13 July, 2005.

PY - 2015/7/13

Y1 - 2015/7/13

N2 - We present an information-theoretic approach for quantifying the level of coordination between cooperating parties engaged in a computer-mediated collaborative interaction. The approach builds on Shannon’s mutual information, as a task-independent objective measure, which captures the level of corelation between the actions of interacting agents. We introduce the approach through two characteristic examples and discuss the challenges in designing a reliable measure and the amount of modelling effort required. Our initial resultssuggest the potential of this measure in supporting designers of collaborative systems and in providing more solid theoretical foundations for the science of Human-Computer Interaction.

AB - We present an information-theoretic approach for quantifying the level of coordination between cooperating parties engaged in a computer-mediated collaborative interaction. The approach builds on Shannon’s mutual information, as a task-independent objective measure, which captures the level of corelation between the actions of interacting agents. We introduce the approach through two characteristic examples and discuss the challenges in designing a reliable measure and the amount of modelling effort required. Our initial resultssuggest the potential of this measure in supporting designers of collaborative systems and in providing more solid theoretical foundations for the science of Human-Computer Interaction.

KW - Coordination

KW - Collaboration

KW - Information theory

M3 - Paper

T2 - British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM)

Y2 - 13 July 2015

ER -