• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

一项关于探索驾驶员对车辆中四种刺激下驾驶系统提醒的反应的初步模拟器研究。

A preliminary simulator study on exploring responses of drivers to driving system reminders on four stimuli in vehicles.

作者信息

Zou Zhao, Alnajjar Fady, Lwin Michael, Ali Luqman, Al Jassmi Hamad, Mubin Omar, Swavaf Muhammad

机构信息

School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW, Australia.

College of Information Technology, United Arab Emirates University, Al Ain, UAE.

出版信息

Sci Rep. 2025 Feb 1;15(1):4009. doi: 10.1038/s41598-025-87571-x.

DOI:10.1038/s41598-025-87571-x
PMID:39893220
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11787351/
Abstract

In the realm of autonomous vehicles, society is undergoing a transition from conventional human-driven vehicles to autonomous driving systems. Therefore, there is an increasing demand for vehicles integrated with assistive driving systems. This pilot study designed to explore which type of driving system reminders, namely Text display, Image display, alarm notification, or humanoid voice command, provokes stronger preferences and higher rates of cooperation from drivers. A high-fidelity driving simulator mainly consisting of a Logitech PlayStation driving system, a reminder playing system and an emotion-detecting model was developed in a lab-setting environment. A cohort of participants (N = 6) was recruited to participate in the experiment, where they were tasked with completing assignments across four driving sessions, followed by a subsequent questionnaire. During each driving session, the participants were exposed to six reminders designed for different driving conditions, including seatbelt check, fuel level check, rear mirror check, over speed reminder, obstacles reminder and drowsy driving reminder. Concurrently, the participants' driving performance was observed by the researcher, while changes in their emotional states were detected by the model. Subsequent to the driving sessions, participants were invited to complete a questionnaire for assessing the various formats of driving reminders presented by the four stimuli, utilizing a 5-level Likert scale. The results revealed that driving reminders with sounds (alarm notification and humanoid voice command) exhibited higher recognition and cooperation rates among drivers than the silent reminders (text display and image display). Participants demonstrated stronger preferences for Voice-based driving reminders, which aligns with the observed behaviours of drivers. Despite the limitations of a small sample size of participants, this within-subject study which collected data from 24 individual driving sessions (6 participants x 4 driving sessions) provides insights on enhancing communication between human drivers and computer-assisted driving systems by developing improved alert systems for drivers. It also seeks to enhance the field of automotive user interface design by developing more intuitive and responsive interactions between humans and humanoid-assistant in future autonomous vehicles.

摘要

在自动驾驶领域，社会正在经历从传统的人类驾驶车辆向自动驾驶系统的转变。因此，对集成辅助驾驶系统的车辆的需求日益增加。这项试点研究旨在探索哪种类型的驾驶系统提醒，即文本显示、图像显示、警报通知或人形语音命令，能引起驾驶员更强的偏好和更高的合作率。在实验室环境中开发了一个高保真驾驶模拟器，主要由罗技PlayStation驾驶系统、提醒播放系统和情绪检测模型组成。招募了一组参与者（N = 6）参加实验，他们的任务是在四个驾驶环节中完成任务，随后进行问卷调查。在每个驾驶环节中，参与者会接触到针对不同驾驶条件设计的六种提醒，包括安全带检查、燃油水平检查、后视镜检查、超速提醒、障碍物提醒和疲劳驾驶提醒。同时，研究人员观察参与者的驾驶表现，而模型则检测他们情绪状态的变化。在驾驶环节之后，邀请参与者完成一份问卷，以使用5级李克特量表评估由四种刺激呈现的各种驾驶提醒形式。结果显示，带有声音的驾驶提醒（警报通知和人形语音命令）在驾驶员中的识别率和合作率高于无声提醒（文本显示和图像显示）。参与者对基于语音的驾驶提醒表现出更强的偏好，这与观察到的驾驶员行为一致。尽管参与者样本量较小存在局限性，但这项从24个单独驾驶环节（6名参与者×4个驾驶环节）收集数据的受试者内研究，通过为驾驶员开发改进的警报系统，为增强人类驾驶员与计算机辅助驾驶系统之间的沟通提供了见解。它还试图通过在未来的自动驾驶车辆中开发人类与类人助手之间更直观、响应更迅速的交互，来提升汽车用户界面设计领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/6741edda5dce/41598_2025_87571_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/0ef3c23c2a4b/41598_2025_87571_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/9394262bc45e/41598_2025_87571_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/eece249b9d62/41598_2025_87571_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/8e7605c0bdb2/41598_2025_87571_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/55f3c4ca77fe/41598_2025_87571_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/a08d6a8fc410/41598_2025_87571_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/54a4ed5a7457/41598_2025_87571_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/708c79755d0a/41598_2025_87571_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/9e9c7ac8ca4d/41598_2025_87571_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/8fbb1dd11894/41598_2025_87571_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/80a619a90d73/41598_2025_87571_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/22b24324b3b4/41598_2025_87571_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/6741edda5dce/41598_2025_87571_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/0ef3c23c2a4b/41598_2025_87571_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/9394262bc45e/41598_2025_87571_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/eece249b9d62/41598_2025_87571_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/8e7605c0bdb2/41598_2025_87571_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/55f3c4ca77fe/41598_2025_87571_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/a08d6a8fc410/41598_2025_87571_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/54a4ed5a7457/41598_2025_87571_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/708c79755d0a/41598_2025_87571_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/9e9c7ac8ca4d/41598_2025_87571_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/8fbb1dd11894/41598_2025_87571_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/80a619a90d73/41598_2025_87571_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/22b24324b3b4/41598_2025_87571_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39e9/11787351/6741edda5dce/41598_2025_87571_Fig13_HTML.jpg

相似文献

1
A preliminary simulator study on exploring responses of drivers to driving system reminders on four stimuli in vehicles.一项关于探索驾驶员对车辆中四种刺激下驾驶系统提醒的反应的初步模拟器研究。
Sci Rep. 2025 Feb 1;15(1):4009. doi: 10.1038/s41598-025-87571-x.
2
Prescription of Controlled Substances: Benefits and Risks管制药品的处方：益处与风险
3
Mobile phone messaging reminders for attendance at healthcare appointments.用于提醒出席医疗预约的手机短信
Cochrane Database Syst Rev. 2013 Dec 5;2013(12):CD007458. doi: 10.1002/14651858.CD007458.pub3.
4
Sexual Harassment and Prevention Training性骚扰与预防培训
5
Transdiagnostic compulsivity is associated with reduced reminder setting, only partially attributable to overconfidence.跨诊断强迫性与提醒设置减少有关，这仅部分归因于过度自信。
Elife. 2025 May 29;13:RP98114. doi: 10.7554/eLife.98114.
6
Mobile phone messaging for facilitating self-management of long-term illnesses.利用手机短信促进慢性病自我管理。
Cochrane Database Syst Rev. 2012 Dec 12;12(12):CD007459. doi: 10.1002/14651858.CD007459.pub2.
7
Reminder systems for women with previous gestational diabetes mellitus to increase uptake of testing for type 2 diabetes or impaired glucose tolerance.针对既往有妊娠期糖尿病的女性的提醒系统，以提高其对2型糖尿病或糖耐量受损检测的接受度。
Cochrane Database Syst Rev. 2014 Mar 18;2014(3):CD009578. doi: 10.1002/14651858.CD009578.pub2.
8
Comparison of self-administered survey questionnaire responses collected using mobile apps versus other methods.使用移动应用程序与其他方法收集的自我管理调查问卷回复的比较。
Cochrane Database Syst Rev. 2015 Jul 27;2015(7):MR000042. doi: 10.1002/14651858.MR000042.pub2.
9
Group-based interventions to reduce gambling involvement among male football fans: a synopsis of findings from a feasibility study.基于群体的干预措施以减少男性足球迷的赌博行为：一项可行性研究结果概述
Public Health Res (Southampt). 2025 Jul;13(6):1-24. doi: 10.3310/SWWP9393.
10
The agreement of phonetic transcriptions between paediatric speech and language therapists transcribing a disordered speech sample.儿科言语和语言治疗师转写语音样本的音标转录的一致性。
Int J Lang Commun Disord. 2024 Sep-Oct;59(5):1981-1995. doi: 10.1111/1460-6984.13043. Epub 2024 Jun 8.

本文引用的文献

1
Audiovisual presentation of variable message signs improves message processing in distracted drivers during partially automated driving.可变信息标志的视听呈现可提高部分自动驾驶中分心驾驶员对信息的处理能力。
J Safety Res. 2024 Jun;89:172-180. doi: 10.1016/j.jsr.2024.01.014. Epub 2024 Feb 10.
2
A pilot study of measuring emotional response and perception of LLM-generated questionnaire and human-generated questionnaires.关于测量对大语言模型生成问卷和人工生成问卷的情感反应和感知的初步研究。
Sci Rep. 2024 Feb 2;14(1):2781. doi: 10.1038/s41598-024-53255-1.
3
Texting While Driving: A Literature Review on Driving Simulator Studies.
文本驾驶：驾驶模拟器研究文献综述。
Int J Environ Res Public Health. 2023 Feb 28;20(5):4354. doi: 10.3390/ijerph20054354.
4
The Image as Language: The Creation and the Use of the Visual Message by Young University Students in Their Communicative Social Activity.图像即语言：青年大学生在社交交流活动中视觉信息的创造与运用
Front Psychol. 2022 Jul 7;13:944187. doi: 10.3389/fpsyg.2022.944187. eCollection 2022.
5
Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs.比较 YOLOv3、YOLOv4 和 YOLOv5 在无人机故障自主着陆点检测中的应用。
Sensors (Basel). 2022 Jan 8;22(2):464. doi: 10.3390/s22020464.
6
Comparing drivers' visual attention at Junctions in Real and Simulated Environments.比较真实环境和模拟环境中驾驶员在交叉口处的视觉注意力。
Appl Ergon. 2019 Oct;80:89-101. doi: 10.1016/j.apergo.2019.05.005. Epub 2019 May 25.
7
Effect of In-Vehicle Audio Warning System on Driver's Speed Control Performance in Transition Zones from Rural Areas to Urban Areas.车载音频警告系统对驾驶员在从农村地区到城市地区过渡区域速度控制性能的影响。
Int J Environ Res Public Health. 2016 Jun 25;13(7):634. doi: 10.3390/ijerph13070634.
8
Speech Auditory Alerts Promote Memory for Alerted Events in a Video-Simulated Self-Driving Car Ride.语音听觉警报促进对视频模拟自动驾驶汽车行驶中警报事件的记忆。
Hum Factors. 2016 May;58(3):416-26. doi: 10.1177/0018720816629279. Epub 2016 Feb 16.
9
Taking a look behind the wheel: an investigation into the personality predictors of aggressive driving.看看方向盘后面：攻击性驾驶的人格预测因素研究。
Accid Anal Prev. 2012 Mar;45:1-9. doi: 10.1016/j.aap.2011.11.012. Epub 2011 Dec 26.
10
Simulator sickness during driving simulation studies.驾驶模拟研究中的模拟器晕动症。
Accid Anal Prev. 2010 May;42(3):788-96. doi: 10.1016/j.aap.2009.04.013.