TY - JOUR
T1 - Think Like a Team
T2 - 73rd International Astronautical Congress, IAC 2022
AU - DeChurch, Leslie A.
AU - Lungeanu, Alina
AU - Contractor, Noshir S.
N1 - Funding Information:
This work was supported by the National Aeronautics and Space Administration (NASA) under awards No. 80NSSC18K0221, 80NSSC18K0276, and NNX15AM32G. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Aeronautics and Space Administration.
Publisher Copyright:
Copyright © 2022 by the International Astronautical Federation (IAF). All rights reserved.
PY - 2022
Y1 - 2022
N2 - Long distance space exploration will require highly autonomous crews to work collaboratively on complex tasks. Crew members will be diverse along many dimensions. These sources of diversity can enable them to solve a wider range of problems, both those foreseen before launch, as well as the unforeseen challenges that must be solved with minimal help from Earth. Previous research in ground-based analogs documents declining team performance over time. Thus, it is important to identify predictors of team performance - properties of teams that can be monitored during space flight to anticipate performance decrements. Monitoring predictive conditions of team performance allows crews to anticipate potential challenges and to improve team states required for high performance. The most robust team state predicting performance in the team effectiveness literature is shared mental models. We developed a measure of shared mental models for use in ground-based analogs. It was administered in NASA's HERA Campaign 4, Campaign 5, and the SIRIUS-19 mission. HERA included 4-member crews in isolation for 45 days; SIRIUS included a 6-member crew in isolation for 120 days. We assessed crew shared mental models 38 times in HERA and 35 times in SIRIUS. In order to track performance variations, we administered two team tasks: a divergent thinking task and a convergent thinking task. Shared mental models were elicited by each crew member using pairwise comparisons of 8 task elements. The measure captures each person's mental understanding of the task. Then we used Euclidean Distance measures between each pair of crews, and then aggregated to the team level, to represent the degree to which their mental models are dissimilar (distance). Divergent thinking performance was assessed using alternative uses tasks and brainstorming solutions to space challenges. Convergent thinking performance was assessed using survival and estimation tasks. We found substantial positive correlations between shared mental models and both dimensions of team performance in HERA and in SIRIUS-19. Though shared mental models are a strong predictor of team performance across mission stages, we found some nuanced shifts. First, shared mental models are the most strongly predictive of performance on divergent thinking tasks before and after communication delay. Second, on convergent thinking tasks, shared mental models increase in predictive power continuously throughout the mission. Third, of all the outcomes, fluency is the most predicted by shared mental models.
AB - Long distance space exploration will require highly autonomous crews to work collaboratively on complex tasks. Crew members will be diverse along many dimensions. These sources of diversity can enable them to solve a wider range of problems, both those foreseen before launch, as well as the unforeseen challenges that must be solved with minimal help from Earth. Previous research in ground-based analogs documents declining team performance over time. Thus, it is important to identify predictors of team performance - properties of teams that can be monitored during space flight to anticipate performance decrements. Monitoring predictive conditions of team performance allows crews to anticipate potential challenges and to improve team states required for high performance. The most robust team state predicting performance in the team effectiveness literature is shared mental models. We developed a measure of shared mental models for use in ground-based analogs. It was administered in NASA's HERA Campaign 4, Campaign 5, and the SIRIUS-19 mission. HERA included 4-member crews in isolation for 45 days; SIRIUS included a 6-member crew in isolation for 120 days. We assessed crew shared mental models 38 times in HERA and 35 times in SIRIUS. In order to track performance variations, we administered two team tasks: a divergent thinking task and a convergent thinking task. Shared mental models were elicited by each crew member using pairwise comparisons of 8 task elements. The measure captures each person's mental understanding of the task. Then we used Euclidean Distance measures between each pair of crews, and then aggregated to the team level, to represent the degree to which their mental models are dissimilar (distance). Divergent thinking performance was assessed using alternative uses tasks and brainstorming solutions to space challenges. Convergent thinking performance was assessed using survival and estimation tasks. We found substantial positive correlations between shared mental models and both dimensions of team performance in HERA and in SIRIUS-19. Though shared mental models are a strong predictor of team performance across mission stages, we found some nuanced shifts. First, shared mental models are the most strongly predictive of performance on divergent thinking tasks before and after communication delay. Second, on convergent thinking tasks, shared mental models increase in predictive power continuously throughout the mission. Third, of all the outcomes, fluency is the most predicted by shared mental models.
KW - communication delay
KW - convergent thinking
KW - crew performance
KW - divergent thinking
KW - shared mental models
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M3 - Conference article
AN - SCOPUS:85167614629
SN - 0074-1795
VL - 2022-September
JO - Proceedings of the International Astronautical Congress, IAC
JF - Proceedings of the International Astronautical Congress, IAC
Y2 - 18 September 2022 through 22 September 2022
ER -