Communication is crucial in the command and control of distributed, safety-critical human activities, such as firefighting, law enforcement, and military operations. In such environments, multiple teams operate at separate locations under hazardous conditions to achieve common goals. Commanders, team leaders, and specialists must exchange plans, procedures, reports, and orders to coordinate and synchronize their efforts (e.g., Rasker, Post, & Schraagen, 2000). Such messages not only are essential to ensure a successful outcome of an operation but also provide an observable trace of how key actors have perceived the emerging situation and what decisions they have made. Therefore, recording and analyzing communication from multiple channels are important means of gaining insight into the processes involved in the command and control of multiple teams.Unfortunately, communication analysis and other process-tracing methods can generate huge amounts of data (Woods, 1993). Another problem is that analysis of audio data based on transcription is time consuming and tedious (Cooke, 1994). Fisher and Sanderson (1996) indicated a potential solution to the problem based on visual, abstract representations of audio data. The key idea in their approach is to store digitized audio data 89