The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. It is being created in the context of a project that is developing meeting browsing technology and will eventually be released publicly. Some of the meetings it contains are naturally occurring, and some are elicited, particularly using a scenario in which the participants play different roles in a design team, taking a design project from kick-off to completion over the course of a day. The corpus is being recorded using a wide range of devices including close-talking and far-field microphones, individual and room-view video cameras, projection, a whiteboard, and individual pens, all of which produce output signals that are synchronized with each other. It is also being hand-annotated for many different phenomena, including orthographic transcription, discourse properties such as named entities and dialogue acts, summaries, emotions, and some head and hand gestures. We describe the data set, including the rationale behind using elicited material, and explain how the material is being recorded, transcribed and annotated.

Objectives-To evaluate the handling of potential cardiac emergency calls by dispatchers, to determine their final diagnosis and urgency, and to determine the value of the main complaint in predicting urgency and the ability of the dispatchers to recognise non-urgent conditions. Design-Prospective data collection and recording of main complaint of emergency calls placed via the 06-11 alarm telephone number with follow up to hospital when the patients were transported and the general practitioner when they were not.

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Characterizing a team's level of readiness in an efficient and objective way is important for organizations such as the military. Current methods to characterize real-time team interaction know limitations that may be addressed by social network analysis techniques. The purpose of the current field study was to investigate the usefulness of these techniques by applying them to two naval teams, one more experienced than the other. We observed how these teams responded during an actual training exercise to a comparable scenario and recorded their communication processes. The descriptive, non-inferential, results showed that, at the network level, the more experienced team displayed higher levels of information sharing and team member participation compared to the less experienced team. At the actor level, the team coordinator played a much more central role in the more experienced team, whereas in the less experienced team this role was taken up by various other team members.

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