長期にわたる条件付き自動運転が疲労,生理的活動,および乗っ取り性能に与える影響:運転シミュレーター実験
Rory Coyne1, Bilal Khan2, Matthew Shiel3
1Department of Health Psychology, RCSI University of Medicine and Health Sciences, School of Population Health, 118 Saint Stephen's Green, Dublin, Leinster, DO2 YN77, Ireland.
Physiological measurement
|February 13, 2026
まとめ
条件付き自動運転はドライバーの疲労を高め,警戒心や安全性に悪影響を及ぼします. 心拍数やEEGの変化などの生理学的マーカーは疲労を示し,モニタリングシステムの必要性を示唆しています.
科学分野:
- 人とコンピュータの相互作用です.
- 自動車工学 自動車工学
- 認知心理学とは,認知心理学である.
背景:
- 運転者の疲労は,交通事故の重要な要因です.
- 条件付き自動運転では,運転者の役割が"バックバック準備"に転換され,警戒が求められます.
- ドライバーの疲労に対する自動化の影響に関する研究は限られている.
研究 の 目的:
- 運転者の疲労に対する長期にわたる条件付き自動運転の影響を調査する.
- 自動化中に疲労の生理学的および行動的マーカーを特定するために.
主な方法:
- 疲労を研究するために,ドライビングシミュレーター実験を使用しました.
- 測定対象には,自己報告された疲労と労働負荷,生理学的データ (EEG,心拍数),およびオーバーホールパフォーマンスが含まれていた.
- 参加者は,自動運転および非運転のタスク条件下で運転しました.
主要な成果:
- 疲労は,ベースラインと比較して,自動運転の50分後に有意に増加しました.
- 参加者の80%が眠気症状を示し,半数近くが目覚めるのに苦労した.
- 生理学的変化には,心拍数とベータパワーの低下,点滅率の上昇,心拍数変動などが含まれています.
結論:
- 長期にわたる自動化はドライバーの疲労を助長し,安全な移行を損なう可能性があります.
- 自動化中の疲労は,自己規制の失敗に起因する可能性があります.
- 特定された生理学的測定は,モニタリングシステムの疲労マーカーとして機能します.
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