2025当AI接管方向盘：自动驾驶场景下的人机交互认知重构、变革及对策研究报告（英文）

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Regaining Situational Awareness as a
User in Charge: Responding to transition
demands in automated vehicles
January 2025
Department for Transport
Great Minster House
33 Horseferry Road
London
SW1P 4DR
enquiries@ccav.gov.uk
Regaining Situational Awareness as a User in Charge: Responding to transition demands in
automated vehicles
2
Control sheet
Project Manager Dr Clare Mutzenich
Quality Assurance Hannah Hughes 10th September 2024
Version Control
Draft 1 31st July 2024
Draft 2 27th August 2024
Final report 11th September 2024
Date of Approval Stephen Devlin 7th January 2025
This report has been prepared by Lacuna Agency, a strategic insights agency serving
clients in public sector, automotive, luxury, and sport. We combine scientific techniques
with evidence-based practices to design innovative research for hard-to-reach or difficult-
to-study audiences. Our work also extends to the broader mobility and transport sectors,
where we assist governments, manufacturers and network providers in planning for future
needs.
Regaining Situational Awareness as a User in Charge: Responding to transition demands in
automated vehicles
3
Executive Summary
Background to the Project
In 2022, the Law Commission of England and Wales and the Scottish Law Commission (The
Law Commissions) published a report suggesting a substantial overhaul of the legal
framework governing automated vehicles. This joint report conducted a comprehensive
review of the regulatory structure for automated vehicles on public roads and highways and
introduced a novel legal entity known as the User-in-Charge (UiC), an individual situated
within the vehicle and capable of operating the driving controls while a self-driving feature is
engaged but not a driver (Law Commissions, 2022a). The UiC does not have to monitor the
road while the self-driving system is active.
This project explores the transition from self-driving technology to human-operated driving,
particularly focusing on the role of the UiC, who must be ready to take control when the
automated system issues a takeover request. A takeover request occurs when the
automated driving system encounters emergencies or conditions outside its programming.
The UiC receives the takeover request via visual, auditory, or haptic cues.
The first approved system under these guidelines is the Automated Lane Keeping System
(ALKS), which requires the UiC to take over within 10 seconds of a takeover request. As
self-driving technologies become more prevalent, questions arise regarding the
permissibility of engaging in Non-Driving Related Activities (NDRA) while using vehicles with
activated self-driving features such as ALKS. There is potential for certain NDRAs to be
allowed, provided they do not compromise the driver's ability to resume control of the vehicle
safely when a takeover request is issued by the system.
Upon receiving a takeover request, the UiC must suddenly focus on building Situational
Awareness (SA) from the surrounding road environment to enable a safe takeover. SA is
critical for safe driving, including during the transition from automated to manual control. SA
involves three levels: perception of the environment, comprehension of the situation, and
projection of future events. The time required to gain sufficient SA after a takeover request
is crucial, with studies showing response times ranging from 3 to 20 seconds. While simple
tasks, like basic perceptual awareness, are processed quickly, more complex activities that
involve higher levels of situational awareness—such as interpreting road signs or
anticipating how current events will impact the road ahead—require more time.
Project Aims
This project focused on exploring the implications of NDRAs in vehicles with self-driving
capabilities, when a UiC must respond to a transition demand. As the use of ALKS becomes
more prevalent, it is essential to understand which NDRAs can be performed (within the 10
seconds mandated by ALKS regulations) without compromising the ability to safely resume
control of the vehicle.
The project had the following objectives:

标签： #AI #研究报告 #自动驾驶

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2025当AI接管方向盘：自动驾驶场景下的人机交互认知重构、变革及对策研究报告（英文）.pdf

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作者：天黑了 分类：研究报告 价格：免费 属性：124 页 大小：1.58MB 格式：PDF 时间：2025-05-08

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