(Georgia Institute of Technology, 2010-03)
Chua, Zarrin K.; Feigh, Karen M.; Braun, Robert D.
Experimentally derived data was extrapolated to
compare the lunar landing performance of human pilots to
that of an automated landing system.12 The results of this
investigation are presented. Overall, the pilots performed
equal to or better than the automated system in 18% of the
relevant cases, but required more fuel. Pilot site selections
were further investigated as a function of the time to
complete. Each hypothetical case was compared to the
automated system, across a range of performance criteria
weighting distributions. This performance criteria is
threefold – proximity to point of interest, safety of the site,
and fuel consumed. In general, the pilots perform better
than the automated system in terms of safety and proximity
to points of interest criteria. However, as the priority of fuel
conservation increases, the tradeoff between using an
autonomous landing system versus a human-in-command
system favors the automation, especially if the pilot is not
able to make the proper decision within a performance
criteria specific threshold.
(Georgia Institute of Technology, 2009-04)
Chua, Zarrin K.; Major, Laura M.; Feigh, Karen M.
Fulfilling NASA’s space exploration objectives requires precision landing to reach lunar sites of
interest. During the approach and landing stages, a landing point redesignation (LPR) display will
provide information to the crew regarding the characteristics of alternate touchdown points.
Building on a previous study which examined crew tasks during LPR but did not account for the
specialized behavior of experts, this investigation will present a new task sequence model, specific
to expert decision-making. This analysis furthers the development of a predictive task execution
model, which is used to test the efficacy of alternate information display and operator actuator
design concepts. The task model and cockpit display recommendations presented in this study
provide a significant improvement in LPR task execution time. This paper examines the task
sequence during lunar landing, describes the predictive task execution process model, and
recommends cockpit display requirements for effective decision making.