Research output: Contribution to conference › Paper › peer-review
- Dari Trendafilov
- Alexander Maye
- D. Polani
- Roderick Murray-Smith
- Andreas Engel
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Original language | English |
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Publication status | Published - 13 Jul 2015 |
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Event | British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM) - Lincoln, United Kingdom Duration: 13 Jul 2015 → … |
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Workshop | British HCI 2015 Workshop on Ubiquitous and Collaborative Computing (iUBICOM) |
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Country/Territory | United Kingdom |
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City | Lincoln |
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Period | 13/07/15 → … |
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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.
Notes
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.
ID: 8699702