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Summary & Details

Metrics for Estimating Driver Inattention in Level 2 Automated Driving

自動運転Lv.2における不注意状態推定のための指標に関する検討

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20266134

Paper/Info type: Proceedings (Autumn)

No.120-26

Pages: 1-2(Total 2 p)

Date of publication: Oct 2026

Publisher: JSAE

Language: Japanese

Event: 2026 JSAE Annual Congress (Autumn)

Detailed Information

Author(J)	1) 中島希, 2) 佐川立昌, 3) 水野伸洋, 4) 吉澤顕, 5) 大門樹
Author(E)	1) Nozomi Nakajima, 2) Ryusuke Sagawa, 3) Nobuhiro Mizuno, 4) Akira Yoshizawa, 5) Tatsuru Daimon
Affiliation(J)	1) 慶應義塾大学大学院, 2) デンソーアイティーラボラトリ, 3) デンソーアイティーラボラトリ, 4) デンソーアイティーラボラトリ, 5) 慶應義塾大学
Affiliation(E)	1) Keio University, 2) DENSO IT Laboratory, 3) DENSO IT Laboratory, 4) DENSO IT Laboratory, 5) Keio University
Abstract(J)	自動運転レベル2において，ドライバの監視への注意が低下し，思考へ没入する不注意状態を推定するための指標を検討した．ドライビングシミュレータを使用し，2次タスクを課すことで，不注意状態を再現した．不注意状態での監視とドライバが安全であると想定する監視における視認行動の特徴を比較検討した結果を報告する． Translation
Abstract(E)	This study investigated metrics for estimating driver inattention during Level 2 automated driving, involving reduced attention to monitoring the surroundings and immersion in thought. Using a driving simulator, we replicated inattentive states by assigning secondary tasks. We report the results of a comparative analysis of visual behavior characteristics between monitoring in an inattentive state and monitoring perceived as safe by the driver.

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