Task Metrics and Methods for Real-Time Task Performance Assessment (Completed)
Last Published:  07/31/19 10:05:33 AM (Central)
Short Title: Task Performance Measurement
Responsible HRP Element: Human Factors and Behavioral Performance
Collaborating Org(s):
National Space Biomedical Research Institute (NSBRI)
Other:
Funding Status: Completed - Task completed and produced a deliverable
Procurement Mechanism(s):
Solicited
Aims:

In the field of human spaceflight, the development and validation of real-time performance metrics, and quantification of performance during operationally-relevant tasks and scenarios has the potential for making existing operations safer and more efficient, as well as for improving the design of future vehicles. The identification of critical performance decrements, either in measures of task performance, workload, or situational awareness, may be used to alter the human-automation task allocation or suggest changes to crew resource management.

  1. Define the system architecture for integrating vehicle and environmental models with the simulation environment for configuring the scenarios, and logging and analyzing the data. This will result in a configurable and portable research simulation capability.
  2. Perform a critical analysis of four piloted tasks: Multi-Purpose Crew Vehicle MPCV/Orion docking, Lunar Landing, and Extravehicular Activity (EVA) Simplified Aid for EVA Rescue (SAFER) self-rescue. Simulator data will be analyzed to identify the specifics of candidate metrics for performance, workload, and situational awareness. Options for presenting feedback to the operator will be developed and evaluated, and integrated with the flight displays and performance analysis algorithms.
  3. Conduct a series of experiments using the simulated spaceflight tasks and real-time metrics engine to baseline performance, workload, and situational awareness in each task in order to develop methods for alerting the operator to deviations from nominal. Analysis will be conducted for each scenario and meta-analysis across scenarios will be conducted to determine commonalities and to set absolute performance thresholds

This research task will contribute to the HARI risk and gaps by developing and validating real-time metrics for assessing flight performance, workload, and situational awareness as a function of time.
 


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