PERCEPTUAL ASSESSMENT IMPROVEMENT OF THE OLDER DRIVER

老司机的知觉评估改进

• 批准号: 2050998
• 负责人: DANIEL L ROENKER
• 金额: $ 18.35万
• 依托单位: VISUAL AWARENESS RESEARCH GROUP, INC.
• 依托单位国家: 美国
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-02-15 至 1996-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2050998
• 关键词: disease /disorder proneness /risk; evaluation /testing; glaucoma; human old age (65+); human subject; human therapy evaluation; vehicular accident; visual fields; visual perception

DESCRIPTION (Adapted from Applicant's Abstract): Many older Americans suffer a loss of independence due to injury from automobile accidents. Recently methods have been discovered for identifying which older individuals are at risk for accidents, and for providing interventions to prevent, delay, or reverse the perceptual/cognitive deficits which underlie this vehicle accident proneness. The aim of the proposed research is to further refine the effectiveness of a new instrument designed both to measure the perceptual/cognitive functions useful field of view (UFOV) related to accident involvement and to enhance/maintain these underlying sensory/cognitive functions. More specifically, the proposed research will examine, in an older group of participants, the effects of UFOV training on three measures of driving performance: a) accident frequency, b) driving simulator performance, and c) on-the-road driving performance. Such an instrument would be applicable for identifying at-risk drivers with Department of Motor Vehicles, Insurance Companies, etc. and holds the potential to remediate those drivers found to be at risk. In addition, the relationship between specific eye pathologies (e.g., glaucoma) and UFOV performance will be examined. Such information will aid in the identification of those individuals most likely to benefit from training.

描述（改编自申请人摘要）：许多老年美国人 因车祸受伤而丧失独立能力。 最近，已经发现了识别哪些较老的 个人有发生事故的风险，并提供干预， 预防、延迟或逆转作为基础的感知/认知缺陷 这种车辆事故倾向。 拟议研究的目的是 进一步完善新文书的效力， 测量感知/认知功能的有用视野（UFOV） 并加强/保持这些基本的 感觉/认知功能。 具体而言，拟议的研究将 在一组年龄较大的参与者中，研究UFOV训练对 驾驶表现的三个指标：a）事故频率，B）驾驶 模拟器性能，以及c）道路驾驶性能。 这样的 该工具将适用于确定有风险的驱动因素， 机动车辆、保险公司等部门，并持有 潜在的补救这些司机发现有风险。 此外该 特定眼睛病理之间的关系（例如，青光眼）和UFOV 将审查业绩。 这些信息将有助于 确定最有可能从培训中受益的人员。