Augmented reality cues and elderly driver hazard perception Mark Christopher Schall Jr. , University of Iowa Follow

[摘要] Perceptually challenging driving environments pose a particular threat of motor vehicle crashes to elderly drivers. Augmented reality (AR) cueing is a promising technology to mitigate risk by directing a driver"s attention to roadway hazards. The objective of this study was to evaluate the effectiveness of AR cues in improving driver safety in older drivers who are at increased risk for a crash due to age-related cognitive impairment. Twenty elderly (Mean= 73 years, SD= 5), licensed drivers with a range of cognitive abilities measured by a speed of processing (SOP) composite participated in a 36-mile (1 hour) drive in an interactive, fixed-base driving simulator. Each participant received AR cues to potential roadside hazards in three of six, straight, 6-mile-long-rural roadway segments. AR cueing was evaluated using response time and response rate for detecting potentially hazardous events (e.g. pedestrian alongside road), detection accuracy for non-target objects (e.g. recreational sign), and ability to maintain a consistent distance behind a lead vehicle. AR cueing aided the detection of pedestrians and warning signs, but not vehicles. Response times decreased for AR-cued warning signs. AR cues did not impair perception of non-target objects or the ability to maintain consistent distance behind a lead vehicle, including for drivers with lower SOP capacity. AR cues show promise for improving older driver safety by increasing hazard detection likelihood without interfering with secondary task performance.