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Vehicle Automation Impact on Drivers (AUTODRIVE)

2021년 7월 12일 업데이트: 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.

연구 개요

연구 유형

중재적

등록 (예상)

120

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

연구 연락처 백업

연구 장소

      • Bron, 프랑스
        • 모병
        • Laboratoire d'Etude des Mécanismes Cognitifs (EMC)
        • 연락하다:
          • Jordan NAVARRO, PhD
        • 부수사관:
          • Perrine SEGUIN, MD
        • 수석 연구원:
          • Jordan NAVARRO, PhD

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

22년 (성인)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

설명

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

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 기초 과학
  • 할당: 무작위화되지 않음
  • 중재 모델: 병렬 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: 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.
실험적: 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.
실험적: 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.
실험적: 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.
실험적: 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.
실험적: 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.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
BOLD effect
기간: 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.

2차 결과 측정

결과 측정
측정값 설명
기간
Behavioral changes
기간: 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.

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Jordan Navarro, MD, : Laboratoire d'Etude des Mécanismes Cognitifs (EMC) -Université Lumière Lyon 2

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (실제)

2019년 10월 8일

기본 완료 (예상)

2023년 7월 8일

연구 완료 (예상)

2023년 7월 8일

연구 등록 날짜

최초 제출

2019년 3월 8일

QC 기준을 충족하는 최초 제출

2019년 3월 26일

처음 게시됨 (실제)

2019년 3월 27일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2021년 7월 13일

QC 기준을 충족하는 마지막 업데이트 제출

2021년 7월 12일

마지막으로 확인됨

2021년 7월 1일

추가 정보

이 연구와 관련된 용어

기타 연구 ID 번호

  • 69HCL19_0141

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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