Task Spaceprint: Development and Validation of a Tool to Predict, Evaluate, and Mitigate Excessive Workload Effects (Completed)
Last Published:  07/31/19 10:05:33 AM (Central)
Short Title: Workload Meta-Analysis
Responsible HRP Element: Behavioral Health and Performance
Collaborating Org(s):
NASA Ames Research Center (ARC)
Other:
Funding Status: Completed - Task completed and produced a deliverable
Procurement Mechanism(s):
Solicited
Aims:
  1. Conduct a Literature Review and Meta-Analysis to identify the parameters that impact operator performance for long-duration mission operations by using formal meta-analysis methods. In the meta-analysis include workload issues that span the spectrum of micro- to macro-levels of analysis and how workload builds from discrete task performance into long-duration task performance. Also consider the relationship between workload and circadian rhythm that arise when workload extends beyond discrete tasks.
  2. Develop a model-based tool to predict astronaut performance in long-duration missions.
  3. Empirically validate the model-based tool to address major gaps in the meta-analysis.


Risk Mitigation/Partial Mitigation:

This research will partially mitigate the Risk of Inadequate Critical Task Design by addressing concerns about performance decrements in a long duration mission environment caused by astronauts experiencing fatigue and poor sleep.

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