Department of Industrial and Mechanical Engineering, University of Iowa, 3131 Seamans Center, Iowa City, IA 52242, USA.
Appl Ergon. 2012 Jul;43(4):768-76. doi: 10.1016/j.apergo.2011.11.012. Epub 2011 Dec 26.
Older adults are overrepresented in fatal crashes on a per-mile basis. Those with useful field of view (UFOV) reductions show a particularly elevated crash risk that might be mitigated with vehicle-based warnings. To evaluate cross-modal cues that could be used in these warnings, we applied a variation of Posner's orienting of attention paradigm. Twenty-nine older drivers with UFOV impairments and 32 older drivers without impairments participated. Cues were presented in either a single modality or a combination of modalities (visual, auditory, haptic). Drivers experienced three cue types (valid spatial information, invalid spatial information, neutral) and an uncued baseline. Following each cue, drivers discriminated the direction of a target (a Landolt square with a gap facing up or down) in the visual panorama. Drivers with and without UFOV impairments showed comparable response times (RTs) across the different cue modalities and cue types. Both groups benefited most from auditory and auditory/haptic cues. Redundant visual cues, when paired with auditory cues, undermined performance rather than enhanced it. Overall, drivers responded faster to targets with valid spatial information followed by neutral, invalid, and uncued targets. Cues provide the greatest benefit in alerting rather than orienting the driver. The cue expected to be most effective at orienting attention - the extra-vehicular cue - performs most poorly when the spatial information is either invalid or neutral. Even when the spatial information is valid the extra-vehicular cue underperforms the auditory cues. The results suggest that temporal information dominates spatial information in the ability of cues to speed responses to targets. This study represents a first step in assessing whether combining a cognitive science paradigm and a driving simulator environment can quickly assess how different warning signals alert and orient drivers.
老年人在按英里计算的致命事故中占比过高。有用视野 (UFOV) 减少的老年人显示出特别高的撞车风险,这种风险可能可以通过车辆警告来降低。为了评估可用于这些警告的跨模态线索,我们应用了 Posner 的注意力定向范式的变体。29 名 UFOV 受损的老年驾驶员和 32 名无 UFOV 受损的老年驾驶员参加了研究。线索呈现在单一模态或多种模态(视觉、听觉、触觉)中。驾驶员经历了三种线索类型(有效空间信息、无效空间信息、中性)和无线索基线。在每个线索之后,驾驶员在视觉全景中辨别目标(一个带有缺口朝上或朝下的兰多尔特方块)的方向。有和没有 UFOV 受损的驾驶员在不同的线索模态和线索类型下表现出相似的反应时间 (RT)。两组驾驶员都从听觉和听觉/触觉线索中获益最多。当与听觉线索配对时,冗余的视觉线索会削弱而不是增强性能。总的来说,驾驶员对有有效空间信息的目标的反应最快,其次是中性、无效和无线索的目标。线索在提醒驾驶员方面提供最大的益处,而不是引导驾驶员。预期在引导注意力方面最有效的线索——车外线索——在空间信息无效或中性时表现最差。即使空间信息有效,车外线索的表现也不如听觉线索。研究结果表明,在提示信号加速对目标的反应能力方面,时间信息比空间信息更具优势。本研究代表了评估认知科学范式和驾驶模拟器环境是否可以快速评估不同警告信号如何提醒和引导驾驶员的第一步。