Techniques for modelling human performance in SEs

We summarise selected recent developments and promising directions for improving the quality of models of human performance in synthetic environments. The potential uses and goals for behavioural models in synthetic environments are summarised. Within that context, we examine relevant, current work related to modelling more complete performance, for example, on cognitive modelling of emotion, advanced techniques for testing and building models of behaviour, new cognitive architectures, and agent and Belief, Desires and Intentions (BDI) technology. The report also considers the usability of these systems as an important but neglected aspect of their performance. A list of projects with high payoff for modelling human performance in synthetic environments is noted.