Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/UKSim.2015.71 | 2015 17th UKSim-AMSS International Conference on Modelling and Simulation (UKSim) |
Keywords | Field | DocType |
Coordination,Collaboration,Uncertainty,Human Factors,Information theory | Information theory,Collaborative interaction,Collaboration,Computer science,Flow (psychology),Human–computer interaction,Mutual information | Conference |
ISSN | ISBN | Citations |
2381-4772 | 978-1-4799-8714-6 | 0 |
PageRank | References | Authors |
0.34 | 10 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dari Trendafilov | 1 | 25 | 3.63 |
| Daniel Polani | 2 | 549 | 70.25 |
| Roderick Murray-smith | 3 | 1396 | 133.95 |