2020 Fiscal Year Final Research Report
Development of the "Pilot's Individualized Learning using Objective Data (PILOD)" training method for increased training efficiency and objective assessment of manual flight skills
| Project/Area Number |
16K21002
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Cognitive science
Aerospace engineering
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| Research Institution | The University of Tokyo |
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Principal Investigator |
ENTZINGER Jorg Onno 東京大学, 大学院工学系研究科(工学部), 特任研究員 (60600327)
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| Project Period (FY) |
2016-04-01 – 2021-03-31
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| Keywords | Flight training / Flight simulator / Human pilot / Visual information / Manual control skill / Objective evaluation / Aviation psychology |
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| Outline of Final Research Achievements |
In this project I trained 40 students basic flight manual skills in our simulator while systematically collecting their data. Another 20 participants took part in smaller side-experiments and exploratory studies. Through the analysis of this data, I was able to extract key indicators that show a student's progress. This includes not only final performance measures, bus also latent indicators of for example the trainee's level of understanding, his/her control and learning style, and stress and effort levels.
I developed tools to largely automate the analysis as well as additional modules to train specific sub-tasks in an efficient and effective manner. The visualized analysis results can be available immediately after a training flight and help the instructor to decide which exercise to start next. It can also help trainees to practice independently, and ask for a `check ride' when they feel ready.
Various parts of the analysis and training modules have gained interest from industry.
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| Free Research Field |
Aviation human factors
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| Academic Significance and Societal Importance of the Research Achievements |
Due to the increasing use of automation the time spent on practicing basic manual flying skills is decreasing. This research can improve flight safety by providing cost-efficient and effective training support tools. The research also shows new ways to make use of the large amount of data available.
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