ABSTRACT
This chapter begins with a theoretical overview of the situation awareness (SA) construct, distinguishing among the different levels and types of SA. It focuses on the application of the TeamPrints methodology to analyze team communications. The chapter presents some promising research that suggests how team communication analytical techniques can be combined to develop an automated online analysis of team performance. TeamPrints is a system that uses computational linguistics and machine learning techniques coupled tightly with Latent Semantic Analysis (LSA) to analyze team communications. LSA is a fully automatic technology for modeling and matching discourse content. The computer game C3Fire as selected as the testbed for investigating team collaboration, communication and SA. The C3Fire computer-based system generates a task environment possessing complex, dynamic and opaque characteristics, similar to cognitive tasks normally encountered in real-life systems. Task performance data was extracted from the event logs automatically generated by the C3Fire system.
