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Vehicle Automation Impact on Drivers (AUTODRIVE)

2021年7月12日 更新者:Hospices Civils de Lyon

On the Highway to Autonomous Driving: How is Automation Changing Humans: Investigations of Drivers' Behaviors, Representations and Neural Processes

In the context of ever-increasing automation in surface vehicles, automation impact on drivers will be investigated through three complementary research axes undertaken under simulated driving:

Axe 1 (Cognitive ergonomics), how automation is impacting driving behaviors and visual explorations? Axe 2 (Experimental psychology), how automation is impacting drivers' mental representations of their own driving abilities? Axe 3 (Neuroimaging), how automation is modifying the car driving neural network? And what are drivers' mental representations neural bases? The project tackle both applied and basic research issues using an original experimental neuro ergonomics approach. AUTODRIVE will bring original data on human-machine cooperation, mental representations, cognitive control and brain processes depending on the characteristics of the automation used over a significant period of time (six weeks) on a large sample (N=120) of experienced and inexperienced drivers.

調査の概要

研究の種類

介入

入学 (予想される)

120

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究連絡先

研究連絡先のバックアップ

研究場所

      • Bron、フランス
        • 募集
        • Laboratoire d'Etude des Mécanismes Cognitifs (EMC)
        • コンタクト:
          • Jordan NAVARRO, PhD
        • 副調査官:
          • Perrine SEGUIN, MD
        • 主任研究者:
          • Jordan NAVARRO, PhD

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

22年~45年 (大人)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

説明

Inclusion Criteria:

  • To be between the ages of 22 and 45 years old
  • Having given an informed consent for the study
  • Being registered with the French Social Security System
  • No driving license for 60 participants
  • Driving license for 4 years or more for 60 participants

Exclusion Criteria:

  • No signature on the consent form
  • Inability to read or write French.
  • Neurologic or psychiatric illness, known or revealed during the inclusion visit
  • Substance intake ( taking psychoactive medications or recreational drugs) on the day of the experiment
  • Noise intolerance
  • Need of vision glasses to drive
  • Persons under curators or deprived of civil rights or deprived of their freedom
  • Unable to fill a questionnaire (severe cognitive troubles)
  • Subjects must not have metallic or electronic implants in the body : pacemakers or pacemaker wires, open heart surgery, artificial heart valve, brain aneurysm surgery, middle ear implant, hearing aid, braces or extensive dental work, cataract surgery or lens implant, implanted mechanical or electrical device, or artificial limb or joint o foreign metallic objects in the body (bullets, BBs, pellets, shrapnel, or metalwork fragments) or current or past employment as machinists, welders or metal workers, tattoos near the head or neck regions, permanent makeup
  • Claustrophobia

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:基礎科学
  • 割り当て:非ランダム化
  • 介入モデル:並列代入
  • マスキング:なし(オープンラベル)

武器と介入

参加者グループ / アーム
介入・治療
実験的:UnAssisted (UA)
This term refers to driving a vehicle manually without any vehicle automation technology. It will serve as a baseline concerning behaviors, representations and neural results associated with unassisted automobile driving.
From no automation of the vehicle to full automation through warnings, shared control and partly automated automation levels.
実験的:Assisted (A)
This term refers to driving with warning technology which upon activation sounds an a warning when the vehicle is too close to the edge of the road (off-road warning , Navarro, Mars, & Hoc, 2007; Suzuki & Jansson, 2003) or too close to the vehicle in front of it (anti-collision warning; Lee, McGehee, Brown, & Reyes, 2002).
From no automation of the vehicle to full automation through warnings, shared control and partly automated automation levels.
実験的:Shared Control (SC)
This term refers to shared tactical control between the driver and the automated assistive technology, both working simultaneously on the physical trajectory of the vehicle, laterally (Griffiths & Gillespie, 2005; Mulder, Abbink, & Boer, 2012) as well as longitudinal (Adell, Várhelyi, & Hjälmdahl, 2008).
From no automation of the vehicle to full automation through warnings, shared control and partly automated automation levels.
実験的:Partly Autonomous (PA)
This term refers to a situation where the lateral and longitudinal control of the driving are delegated to the automated assistive technology. It consists of a level of automatisation that today is possible to put into application and which often is referred to by the name "Highly Automated Driving" (Navarro, 2018). In this case, the driver is no longer the one who physically ensures the lateral and longitudinal control of the vehicle, but instead supervises the actions of the automated assistive technology.
From no automation of the vehicle to full automation through warnings, shared control and partly automated automation levels.
実験的:Fully Autonomous (FA)
This term refers to a completely automated driving experience. The on-board technologies take over all the driving tasks for any driving situation.
From no automation of the vehicle to full automation through warnings, shared control and partly automated automation levels.
実験的:Any Automation (AA)
This term refers to a situation where the drivers can choose the automation device of their choice among the five types presented above and can change it whenever they think it is good to do so.
From no automation of the vehicle to full automation through warnings, shared control and partly automated automation levels.

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
BOLD effect
時間枠:Repetition Time (TR) :every 3 seconds, during the 3 fMRI sessions of respectively 1 hour, 0,75 hour and 0,75 hour. fMRI session 2 occurs 3 weeks after fMRI session 1 and 3 weeks before fMRI session 3.

Functional magnetic resonance imaging measures brain activity by detecting changes associated with blood flow This technique relies on the fact that cerebral blood flow and neuronal activation are coupled. When an area of the brain is in use, blood flow to that region also increases. The primary form of fMRI uses the blood-oxygen-level dependent (BOLD) contrast in response to an experimental condition (Ogawa, Lee, Kay, & Tank, 1990), allowing researchers to track changes in oxygen consumption on the brain, and therefore brain activity. BOLD effect is computed by assessing the different relaxation times (T1 and T2) in the brain, as T1 and T2 are different in function of regional cerebral blood flows.

The outcome will be a change between mean BOLD effect oven session 1 versus session 2 versus session 3.

Repetition Time (TR) :every 3 seconds, during the 3 fMRI sessions of respectively 1 hour, 0,75 hour and 0,75 hour. fMRI session 2 occurs 3 weeks after fMRI session 1 and 3 weeks before fMRI session 3.

二次結果の測定

結果測定
メジャーの説明
時間枠
Behavioral changes
時間枠:Two experimental sessions of an hour, one before and one after the six weeks of automated driving. Plus six driving sessions of 0,5 hour, one driving session the first day of each experimental week.

Participants will be asked to drive through a variety of driving situations in a driving simulator simulated environment equipped with an eye-tracker. The measure collected will be drivers' behaviors on the steering wheel and pedals as well as their visual behaviors.

The outcome will be a change in the number of actions on the steering wheel (a), pedals (b) and gaze dispersion (c) on the visual scene across the time points.

Two experimental sessions of an hour, one before and one after the six weeks of automated driving. Plus six driving sessions of 0,5 hour, one driving session the first day of each experimental week.

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

スポンサー

捜査官

  • 主任研究者:Jordan Navarro, MD、: Laboratoire d'Etude des Mécanismes Cognitifs (EMC) -Université Lumière Lyon 2

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始 (実際)

2019年10月8日

一次修了 (予想される)

2023年7月8日

研究の完了 (予想される)

2023年7月8日

試験登録日

最初に提出

2019年3月8日

QC基準を満たした最初の提出物

2019年3月26日

最初の投稿 (実際)

2019年3月27日

学習記録の更新

投稿された最後の更新 (実際)

2021年7月13日

QC基準を満たした最後の更新が送信されました

2021年7月12日

最終確認日

2021年7月1日

詳しくは

本研究に関する用語

その他の研究ID番号

  • 69HCL19_0141

医薬品およびデバイス情報、研究文書

米国FDA規制医薬品の研究

いいえ

米国FDA規制機器製品の研究

いいえ

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

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