The operational context of spaceflight is dynamic, complex, and extreme (e.g., Mallis & DeRoshia, 2005; NASA, 2007). In the long-duration exploratory missions of the future, these demands may be exacerbated because of the longer periods of isolation and confinement, the increased autonomy of the crew, and the potential for greater tension and interpersonal conflict (Beven, 2012). In brief, flight crews will be exposed to an array of environmental, task, and interpersonal stressors that can negatively impact performance as well as jeopardize the safety and well-being of crew members. According to the NASA Human Research Roadmap (Slack, Shea, Leveton, Whitmire, & Schmidt, 2009), Long-duration missions to remote environments will increase astronaut exposure to extreme isolation and confinement, resulting in higher stress levels and an increased risk of crew morale deterioration. Furthermore, Strangman (2010) has noted that there exists a large number of reports from the early age of exploration to the present day indicating that mood disturbance, depression, anxiety, and hostility are all substantial concerns for spaceflight (cf. Shepanek, 2005; Stuster, 2011). Unlike teams in the experimental laboratory that can be examined under a microscope, teams in the real world operate autonomously, apart from direct observation and supervision, and operate in a fluid, dynamic manner to achieve the team's objective (Driskell, Burke, Driskell, Salas, & Neuberger, 2014). Therefore, the requirement exists to develop non-obtrusive means of detecting cognitive performance deficits, stress, fatigue, or anxiety in situ without the intrusion of the psychologist's typical array of questions and questionnaires. The requirement to assess individual and team functioning at a distance suggests the potential efficacy of a methodology to assess cognitive and emotional states in real-time from ongoing or spontaneous verbal output. In brief, we believe that we can track stress, anxiety, and related cognitive and emotional states in team performance settings via non-obtrusive monitoring of lexical output. References Mallis, M. M., & DeRoshia, C. W. (2005). Circadian rhythms, sleep, and performance in space. Aviation, Space, and Environmental Medicine, 76, B94-B107. Slack, K., Shea, C., Leveton, L. B., Whitmire, A. M., & Schmidt, L. L. (2009). Risk of behavioral and psychiatric conditions. Human Health and Performance Risks of Space Exploration Missions. NASA SP-2009-3405. Houston, TX: National Aeronautics and Space Administration Lyndon B. Johnson Space Center, 3-45. Strangman, G. (2010). Human cognition and long duration space flight (White paper). Prepared for NASA-Johnson Space Center, Houston, TX: Behavioral Health and Performance. Shepanek, M. (2005). Human behavioral research in space: quandaries for research subjects and researchers. Aviation, Space, and Environmental Medicine, 76, B25-B30. Stuster, J. (2011). Bold endeavors: Lessons from polar and space exploration. Naval Institute Press. Driskell, T., Burke, S., Driskell, J. E., & Salas, E., & Neuberger, L. (2014). Steeling the team: Assessing individual and team functioning 'at a distance.' The Military Psychologist, 29, 12-18.