Task Human – Automation Interactions and Performance Analysis of Lunar Lander Supervisory Control (Completed)
Last Published:  07/31/19 10:05:33 AM (Central)
Short Title: Lunar Lander
Responsible HRP Element: Space Human Factors and Habitability
Collaborating Org(s):
National Space Biomedical Research Institute (NSBRI)
Other:
Funding Status: Completed - Task completed and produced a deliverable
Procurement Mechanism(s):
Solicited
Aims:

This project aimed to produce an integrated human-system model that includes perception, decision making and action as an early-stage model-based simulation design tool to identify the appropriate human-automation task allocation and information requirements to enable safe and successful lunar landing.

  1. Performed a critical analysis of human operator-automation interactions and task allocations, considering information requirements, decision making and the selection of action.
  2. Developed a closed-loop pilot-vehicle model, integrating vehicle dynamics, human perception, decision making and action, and analyze using reliability analysis techniques in MATLAB ®/Simulink to quantify system performance.
  3. Conducted experiments in the Draper Laboratory fixed-base lunar landing cockpit simulator to validate critical parameters within the integrated pilot-vehicle model.
  4. Extended the dynamic model to include the effect of spatial orientation on system performance and conduct experiments on the NASA Ames Vertical Motion Simulator to investigate the effects of motion cues on pilot performance.

The end result of the project was a design method that can be used to identify the appropriate task allocation between the human and automated control, recommended information displays that are required for safe and successful lunar landings, and an initial set of human spaceflight performance measures.

Mitigation or partial mitigation of the risk: advanced our understanding of human spaceflight performance measures under nominal and off-nominal conditions (SHFE-HARI-03) and contributed a design method to identify human-automation task allocation to be used in early in the system design life cycle (SHFE-HARI-01).

Integration/Unique Aspects:
This work contributes also to Risk of Inadequate Critical Task Design and Risk of Inadequate Human-Computer Interaction.

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