| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2019: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2018: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
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| Outline of Final Research Achievements |
This study aimed to quantify the mental workload of driving a car from eye movement measurement data, and to evaluate the influence of cabin space construction on mental workload. We conducted an experiment in which a driving task using a driving simulator and a secondary task to control the mental workload were imposed simultaneously, and we extracted eye movement parameters useful for evaluating the mental workload. We also proposed a method to quantify mental workload by applying anomaly detection in a machine learning framework. We then applied the proposed method to evaluate the effect of cabin space height on mental workload.
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