McCoy, Aaron and McLoone, Seamus and Ward, Tomas and Delaney, Declan
Investigating Behavioural State Data-Partitioning for User-
Modelling in Distributed Interactive Applications.
In: 8th IEEE International Symposium on Distributed Simulation and Real Time Applications, October 2004, Budapest, Hungary.
Distributed Interactive Applications (DIAs) have been gaining commercial
success in recent years due to the widespread appeal of networked multiplayer computer
games. Within these games, participants interact with each other and their environment,
producing complex behavioural patterns that evolve over time. These patterns are nonlinear,
and often appear to exhibit dependencies under certain conditions. In this paper,
we analyse the behavioural patterns of two participants interacting in a DIA. Our
motivation behind this analysis is to construct models of user behaviour that can be used
for prediction within Entity-State-Update (ESU) mechanisms. By representing their
behaviour as time-series datasets, we investigate the use of simple statistical dependence
measures to help partition the datasets and identify three different types of behavioural
states exhibited by the two participants. It is our intention that future research on ESU
mechanisms can utilize this behavioural partitioning to reduce the network traffic in a
DIA based on a hybrid-model approach.
Conference or Workshop Item
||Behavioural State Data-Partitioning; User-Modelling; Distributed Interactive Applications;
||Science & Engineering > Electronic Engineering
Dr Tomas Ward
||26 Mar 2009 16:22
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