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用于从条件自动驾驶车辆重新获得控制权的驾驶员态势感知:实证研究的系统综述

Driver Situation Awareness for Regaining Control from Conditionally Automated Vehicles: A Systematic Review of Empirical Studies.

作者信息

Tan Xiaomei, Zhang Yiqi

机构信息

Pennsylvania State University, University Park, USA.

Sichuan University - Pittsburgh Institute, China.

出版信息

Hum Factors. 2025 Apr;67(4):367-403. doi: 10.1177/00187208241272071. Epub 2024 Aug 27.

DOI:10.1177/00187208241272071
PMID:39191668
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11874498/
Abstract

OBJECTIVE

An up-to-date and thorough literature review is needed to identify factors that influence driver situation awareness (SA) during control transitions in conditionally automated vehicles (AV). This review also aims to ascertain SA components required for takeovers, aiding in the design and evaluation of human-vehicle interfaces (HVIs) and the selection of SA assessment methodologies.

BACKGROUND

Conditionally AVs alleviate the need for continuous road monitoring by drivers yet necessitate their reengagement during control transitions. In these instances, driver SA is crucial for effective takeover decisions and subsequent actions. A comprehensive review of influential SA factors, SA components, and SA assessment methods will facilitate driving safety in conditionally AVs but is still lacking.

METHOD

A systematic literature review was conducted. Thirty-four empirical research articles were screened out to meet the criteria for inclusion and exclusion.

RESULTS

A conceptual framework was developed, categorizing 23 influential SA factors into four clusters: task/system, situational, individual, and nondriving-related task factors. The analysis also encompasses an examination of pertinent SA components and corresponding HVI designs for specific takeover events, alongside an overview of SA assessment methods for conditionally AV takeovers.

CONCLUSION

The development of a conceptual framework outlining influential SA factors, the examination of SA components and their suitable design of presentation, and the review of SA assessment methods collectively contribute to enhancing driving safety in conditionally AVs.

APPLICATION

This review serves as a valuable resource, equipping researchers and practitioners with insights to guide their efforts in evaluating and enhancing driver SA during conditionally AV takeovers.

摘要

目的

需要进行最新且全面的文献综述,以确定在有条件自动驾驶车辆(AV)的控制权转换过程中影响驾驶员态势感知(SA)的因素。本综述还旨在确定接管所需的态势感知组件,有助于设计和评估人车界面(HVI)以及选择态势感知评估方法。

背景

有条件自动驾驶车辆减轻了驾驶员持续道路监测的需求,但在控制权转换期间需要他们重新参与。在这些情况下,驾驶员态势感知对于有效的接管决策和后续行动至关重要。对有影响力的态势感知因素、态势感知组件和态势感知评估方法进行全面综述将有助于有条件自动驾驶车辆的驾驶安全,但目前仍缺乏此类综述。

方法

进行了系统的文献综述。筛选出34篇实证研究文章以符合纳入和排除标准。

结果

建立了一个概念框架,将23个有影响力的态势感知因素分为四类:任务/系统、情境、个人和非驾驶相关任务因素。分析还包括对特定接管事件相关的态势感知组件和相应人车界面设计的检查,以及有条件自动驾驶车辆接管态势感知评估方法的概述。

结论

概述有影响力的态势感知因素的概念框架的建立、态势感知组件及其合适呈现设计的检查以及态势感知评估方法的综述共同有助于提高有条件自动驾驶车辆的驾驶安全性。

应用

本综述是一个宝贵的资源,为研究人员和从业人员提供见解,以指导他们在有条件自动驾驶车辆接管期间评估和提高驾驶员态势感知的工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0a9/11874498/6ef641858d80/10.1177_00187208241272071-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0a9/11874498/b9c7d75da6a3/10.1177_00187208241272071-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0a9/11874498/6ef641858d80/10.1177_00187208241272071-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0a9/11874498/b9c7d75da6a3/10.1177_00187208241272071-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0a9/11874498/6ef641858d80/10.1177_00187208241272071-fig2.jpg

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A Systematic Review and Meta-Analysis of Takeover Performance During Conditionally Automated Driving.
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Physiological Measurements of Situation Awareness: A Systematic Review.态势感知的生理测量:系统综述
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