Title :
Level of automation and failure frequency effects on simulated lunar lander performance
Author :
Marquez, Jessica J. ; Ramirez, M.
Author_Institution :
NASA Ames Res. Center, Moffett Field, IA, USA
Abstract :
A human-in-the-loop experiment was conducted at the NASA Ames Research Center Vertical Motion Simulator, where instrument-rated pilots completed a simulated terminal descent phase of a lunar landing. Ten pilots participated in a 2 x 2 mixed design experiment, with level of automation as the within-subjects factor and failure frequency as the between-subjects factor. The two evaluated levels of automation were high (fully automated landing) and low (manual controlled landing). During test trials, participants were exposed to either a high number of failures (75% failure frequency) or low number of failures (25% failure frequency). In order to investigate the pilots´ sensitivity to changes in levels of automation and failure frequency, the dependent measure selected for this experiment was accuracy of failure diagnosis, from which D Prime and Decision Criterion were derived. For each of the dependent measures, no significant difference was found for level of automation and no significant interaction was detected between level of automation and failure frequency. A significant effect was identified for failure frequency suggesting failure frequency has a significant effect on pilots´ sensitivity to failure detection and diagnosis. Participants were more likely to correctly identify and diagnose failures if they experienced the higher levels of failures, regardless of level of automation.
Keywords :
decision theory; entry, descent and landing (spacecraft); failure analysis; fault diagnosis; planetary rovers; D prime; automation level effect; decision criterion; failure detection; failure diagnosis; failure frequency effect; human-in-the-loop experiment; pilot sensitivity; simulated lunar landing performance; simulated terminal descent phase; Automation; Monitoring; Moon; Radar; Space vehicles; Training;
Conference_Titel :
Aerospace Conference, 2014 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
978-1-4799-5582-4
DOI :
10.1109/AERO.2014.6836314