In-Car Technology to Alert Attention-Imparied Drivers

车载技术可提醒注意力不集中的驾驶员

• 批准号: 7033250
• 负责人: MATTHEW RIZZO
• 金额: $ 49.31万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-15 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7033250
• 关键词: aging; attention; auditory stimulus; behavior test; behavioral /social science research tag; clinical research; computer simulation; computer system design /evaluation; cues; decision making; human old age (65+); human subject; injury prevention; nonbiomedical equipment; performance; psychomotor function; safety equipment; technology /technique development; transportation /recreation safety; vehicular accident; vision disorders; visual fields; visual perception; visual stimulus

DESCRIPTION (provided by applicant): The broad goals of this research project are to identify patterns of driving performance and safety errors resulting from age-related impairments in the useful field of view (UFOV), and to develop in-vehicle countermeasures that decrease crash risk and increase safety and mobility. The specific aims are to 1) determine optimal signal parameters for a driver alerting and collision warning device, 2) test the efficacy of the device in improving driver reactions in challenging situations in a high- fidelity driving simulator and on-road in an instrumented vehicle (IV); 3) characterize on-road driving performance, and search behavior and compensatory strategies, in at-risk drivers with UFOV impairments and comparison subjects operating an IV; 4) assess the effects of the safety intervention in at-risk drivers and comparison subjects on the road in the IV; and 5) estimate the benefits of the proposed safety interventions across the U.S. in terms of crashes averted. The research addresses these aims by testing 150 driver's ages 65 to 85 years, including 75 drivers with UFOV impairment and 75 comparison drivers without impairment. The groups will be randomized so than two-thirds receive the intervention and one-third act as controls. The experiments utilize a high-fidelity driving simulator, a state-of-the art instrumented vehicle, and sophisticated cognitive testing tools to systematically address driver impairments with in-vehicle solutions that improve a driver's ability to monitor information, allocate attention, and make accurate and timely decisions. The research team members are experts in human factors engineering, neurology, biostatistics, computer graphics, and cognitive science. As an outcome of these studies, we expect to (1) make recommendations on promising collision warning devices for at-risk drivers with UFOV loss, (2) develop basic information on real-world driving strategies in people at risk for collisions, (3) understand the efficacy of basic warning signal parameters and how they differ in cognitively impaired and normal drivers, (4) develop tools for possible clinical trials in drivers who have a variety of medical impairments. The results may be used to design safer automobiles that use new strategies and technologies for collision warning, perceptual augmentation, and attention management.

描述（由申请人提供）：该研究项目的广泛目标是确定在有用的视野（UFOV）中与年龄相关的损害引起的驾驶性能和安全性错误的模式，并开发了降低撞车风险并增加安全性和移动性的车辆内对策。具体目的是1）确定驾驶员警报和碰撞警告设备的最佳信号参数，2）测试该设备在高保真驾驶模拟器中在挑战性情况下改善驾驶员反应的功效，并在仪器车辆中（IV）中的公路上有效； 3）在具有UFOV损伤和比较主题的静脉内驾驶员中表征公路驾驶绩效以及搜索行为和补偿策略； 4）评估IV道路上风险驾驶员的安全干预和比较对象的影响； 5）估计避免坠机事故的美国拟议安全干预措施的好处。该研究通过测试150辆65至85岁的驾驶员，包括75名有UFOV障碍的驾驶员和75名没有损害的比较驱动程序来解决这些目标。这些小组将被随机分配，因此要比三分之二的人接受干预，三分之一作为对照。该实验利用高保真驾驶模拟器，最先进的仪器和精致的认知测试工具系统地通过车辆内解决方案系统地解决驾驶员损害，从而提高了驾驶员的能力，可以分配注意力，分配注意力，并做出准确及时的决策。研究小组成员是人为因素工程，神经病学，生物统计学，计算机图形和认知科学专家。作为这些研究的结果，我们希望（1）提出有关在风险损失的高风险驾驶员的有前途的碰撞警告设备的建议，（（2）开发有关有碰撞风险的人的现实世界驾驶策略的基本信息，（3）了解基本警告信号参数的效果，以及在cognitiatienta Impairing and Importing和正常驾驶员方面的差异，以开发（4）型号的工具（4）工具，以开发（4）工具。结果可用于设计使用新策略和技术进行碰撞警告，知觉增强和注意力管理的更安全的汽车。