Mutual Information as a Measure of Coordination in Collaborative Interaction

Dari Trendafilov; Alexander Maye; D. Polani; Roderick Murray-Smith; Andreas Engel

Mutual Information as a Measure of Coordination in Collaborative Interaction

Dari Trendafilov, Alexander Maye, D. Polani, Roderick Murray-Smith, Andreas Engel

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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’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 results
suggest 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.

Original language	English
Publication status	Published - 13 Jul 2015
Event	British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM) - Lincoln, United Kingdom Duration: 13 Jul 2015 → …

Workshop

Workshop	British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM)
Country/Territory	United Kingdom
City	Lincoln
Period	13/07/15 → …

Keywords

Coordination
Collaboration
Information theory

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iUBICOM_finalAccepted author manuscript, 1.05 MB

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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",

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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 -

Mutual Information as a Measure of Coordination in Collaborative Interaction

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Workshop

Keywords

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