An automated content-based measure of closed loop communication among critical care air transport teams.

Successful teamwork is essential to ensure critical care air transport (CCAT) patients receive effective care. Despite the importance of team performance, current training methods rely on subjective performance assessments and do not evaluate performance at the team level. Researchers have developed the Team Dynamics Measurement System (TDMS) to provide real-time, objective measures of team coordination to assist trainers in providing CCAT aircrew with feedback to improve performance. The first iteration of TDMS relied exclusively on communication flow patterns (i.e., who was speaking and when) to identify instances of various communication types such as closed loop communication (CLC). The research presented in this paper significantly advances the TDMS project by incorporating natural language processing (NLP) to identify CLC. The addition of NLP to the existing TDMS resulted in greater accuracy and fewer false alarms in identifying instances of CLC compared to the previous flow-based implementation. We discuss ways in which these improvements will facilitate instructor feedback and support further refinement of the TDMS.

Depth of focus and visual recognition of imagery presented on simultaneously viewed displays: implications for head-mounted displays.

OBJECTIVE: We sought to determine the optimal focal distance for a semitransparent monocular head-mounted display (HMD) integrated with a flight simulator display and to investigate whether observers experienced visual discomfort or impaired target recognition when using an HMD set at the optimal distance. BACKGROUND: When an observer wears a monocular HMD and views a simulator display, focal distances of both displays must be within the observers' depth of focus to prevent blurred imagery. Because focal distance can vary by as much as 0.5 m in U.S. Air Force multifaceted simulator displays, we determined whether a monocular HMD could be integrated with a simulator display without blurred imagery or discomfort. METHOD: Depth of focus and visual recognition were measured with a staircase procedure, and visual discomfort was measured with a questionnaire. RESULTS: Depth of focus was 0.64 diopters in one condition tested, but it was affected by luminance level and display resolution. It was recommended that HMD focal distance equal the optical midpoint of the range of viewing distances encountered in the simulator. Moreover, wearing an HMD produced a decline in recognition performance for targets presented on the simulator display despite both displays being within observers' depth of focus and producing no visual discomfort. CONCLUSION: Monocular HMDs can be integrated with multifaceted simulator displays without blurred imagery or visual discomfort, provided that the correct focal distance is adopted. APPLICATION: For situations involving simultaneously viewed visual displays.

Measuring team situation awareness in decentralized command and control environments.

Decentralized command and control settings like those found in the military are rife with complexity and change. These settings typically involve dozens, if not hundreds to thousands, of heterogeneous players coordinating in a distributed fashion in a dynamically networked battlefield laden with sensor data, intelligence reports, communications, and plans emanating from many different perspectives. Consider the concept of team situation awareness in this setting. What does it mean for a team to be aware of a situation or, more importantly, of a critical change in a situation? Is it sufficient or necessary for all individuals on the team to be independently aware? Or is there some more holistic awareness that emerges as team members interact? We re-examine the concept of team situation awareness in decentralized systems beyond an individual-oriented knowledge-based construct by considering it as a team interaction-based phenomenon. A theoretical framework for a process-based measure called 'coordinated awareness of situations by teams' is outlined.