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Developing and Validating Sensor-based Measurement Strategies for Team Member Selection

Individual- and team-level selection systems are needed for long duration space exploration (LDSE) missions. However, theory and methods are underdeveloped for multi-level selection systems, and measurement strategies for LDSE competencies are incomplete. Data collection in environments built to simulate aspects of LDSE missions is constrained by limited sample sizes needed for validation work. Traditional measures of teamwork rely on observations and ratings that may be biased by subjective beliefs and expectations of the rater. Unobtrusive and sociometric approaches to measurement are promising methods to assess challenging LDSE competencies, but little rigorous validation work has been conducted to date.

Our Goals

The purpose of our study is to advance the knowledge, methods, and tools needed to develop measurement and selection systems for individual- and team-level competencies for LDSE missions. We will conduct this research with surgical and critical care residents, who operate in environments that are in several ways similar to LDSE. Both positions attract driven, highly trained individuals who must demonstrate the highest levels of technical skill, teamwork and adaptability. They both must confront social isolation and mental and physical fatigue over periods of years.

Principal Investigators: Michael Rosen
Research Team Members: Sadaf Kazi, Salar Khaleghzadegan, Nnenna Chime
Funding Agency: NASA

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