Using problem-based exploratory training to improve pilot understanding of autopilot functions

Jordy K.van Leeuwen*, Annemarie Landman, Eric L. Groen, Randall J. Mumaw, Olaf Stroosma, Marinus M.van Paassen, Max Mulder

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Previous research indicated a need to improve pilot training with regard to understanding of autopilot logic and behavior, especially in non-routine situations. Therefore, we tested the effect of problem-based exploratory training on pilots’ understanding of autopilot functions. Using a moving-base flight simulator, general aviation pilots (n = 45) were trained to diagnose failures either without foreknowledge and guidance (exploratory group), without foreknowledge but with some guidance (exploratory-guidance group) or with foreknowledge and full guidance (control group). They subsequently performed six test scenarios in which their understanding of the effects of failures was tested by requiring them to deduce the failures and select autopilot modes that were still functioning. Those who received exploratory training with guidance were significantly more likely than the other groups to diagnose failures correctly. The exploratory training group also selected the most appropriate functioning autopilot modes significantly faster than the control group. The results suggest that exploratory training with an appropriate level of guidance is useful for gaining a practical understanding of autopilot logic and behavior. Exploratory training may help to improve transfer of training to operational practice, and prevent automation surprises and accidents.

Original languageEnglish
Number of pages13
JournalCognition, Technology and Work
DOIs
Publication statusPublished - 2024

Keywords

  • Automation surprise
  • Human–automation interaction
  • Simulator training
  • Situation awareness
  • Transfer of training

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