By a News Reporter-Staff News Editor at Insurance Weekly News -- Investigators publish new report on Risk Management. According to news reporting originating in Iowa City, Iowa, by VerticalNews journalists, research stated, "The objective of this study was to assess the effects of augmented reality (AR) cues designed to assist middle-aged and older drivers with a range of UFOV impairments, judging when to make left-turns across oncoming traffic. Previous studies have shown that AR cues can help middle-aged and older drivers respond to potential roadside hazards by increasing hazard detection without interfering with other driving tasks."
The news reporters obtained a quote from the research from the University of Iowa, "Intersections pose a critical challenge for cognitively impaired drivers, prone to misjudge time-to-contact with oncoming traffic. We investigated whether AR cues improve or interfere with hazard perception in left-turns across oncoming traffic for drivers with age-related cognitive decline. Sixty-four middle-aged and older drivers with a range of UFOV impairment judged when it would be safe to turn left across oncoming traffic approaching the driver from the opposite direction in a rural stop-sign controlled intersection scenario implemented in a static base driving simulator. Outcome measures used to evaluate the effectiveness of AR cueing included: Time-to-Contact (TTC), Gap Time Variation (GTV), Response Rate, and Gap Response Variation (GRV). All drivers estimated TTCs were shorter in cued than in uncued conditions. In addition, drivers responded more often in cued conditions than in uncued conditions and GRV decreased for all drivers in scenarios that contained AR cues. For both TTC and response rate, drivers also appeared to adjust their behavior to be consistent with the cues, especially drivers with the poorest UFOV scores (matching their behavior to be close to middle-aged drivers). Driver ratings indicated that cueing was not considered to be distracting."
According to the news reporters, the research concluded: "Further, various conditions of reliability (e.g., 15% miss rate) did not appear to affect performance or driver ratings."
For more information on this research see: Augmented reality cues to assist older drivers with gap estimation for left-turns. Accident Analysis and Prevention, 2014;71():210-221. Accident Analysis and Prevention can be contacted at: Pergamon-Elsevier Science Ltd, The Boulevard, Langford Lane, Kidlington, Oxford OX5 1GB, England. (Elsevier - www.elsevier.com; Accident Analysis and Prevention - www.elsevier.com/wps/product/cws_home/336)
Our news correspondents report that additional information may be obtained by contacting M.L. Rusch, University of Iowa, Dept. of Neurol, Iowa City, IA 52242, United States. Additional authors for this research include M.C. Schall, J.D. Lee, J.D. Dawson and M. Rizzo.
Keywords for this news article include: Iowa City, Iowa, United States, North and Central America, Risk Management
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