Time-to-Collision Estimation With Age-Related Macular Degeneration Using Visual and Auditory Cues: Which Cues are Most Important?

Patricia R DeLucia, Daniel Oberfeld, Joseph K Kearney, Melissa Cloutier, Anna M Jilla, Avery Zhou, Stephanie Trejo Corona, Jessica Cormier, Audrey Taylor, Charles C Wykoff, Robin Baurès
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Abstract

We measured time-to-collision (TTC) judgments from participants with age-related macular degeneration (AMD), and normal vision (NV) controls, with an audiovisual virtual reality system that simulated vehicles approaching in a 3D traffic environment. The vehicle was presented visually only, aurally only, or both simultaneously, allowing us to determine the relative importance of visual and auditory cues with psychophysical reverse correlation. Results indicated that TTC judgments were based on both auditory and visual cues in the AMD and NV groups; the AMD group relied, at least in part, on their residual vision. A multimodal advantage was not observed in either group. TTC estimation in the AMD group was surprisingly similar to that in the NV group. However, the AMD group showed a higher relative importance of "heuristic" cues compared to more reliably accurate cues favored by the NV group, suggesting that similar performance may be achieved through different cue-weighting strategies.

使用视觉和听觉线索估计年龄相关性黄斑变性的碰撞时间:哪个线索最重要?
我们使用视听虚拟现实系统模拟车辆在3D交通环境中接近,测量了年龄相关性黄斑变性(AMD)参与者和正常视力(NV)对照组的碰撞时间(TTC)判断。车辆仅在视觉上呈现,仅在听觉上呈现,或同时呈现两者,使我们能够确定视觉和听觉线索与心理物理反向相关的相对重要性。结果表明,AMD组和NV组的TTC判断同时基于听觉和视觉线索;AMD团队至少在一定程度上依赖于他们的残余视力。两组均未观察到多模态优势。AMD组的TTC估计与NV组惊人地相似。然而,与NV组青睐的更可靠准确的线索相比,AMD组显示出更高的“启发式”线索的相对重要性,这表明通过不同的线索加权策略可以实现类似的表现。
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