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Discrimination and estimation of time-to-contact for approaching traffic using a desktop environment

机译:使用桌面环境区分和估算接近交通的接触时间

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Each year, thousands of pedestrians are injured or killed in traffic accidents. Identifying pedestrians' perceptual capabilities for street crossing decisions is an important problem. This paper examines this issue by seeking to understand people's time-to-contact judgments for short-range to long-range times-to-contact in a desktop environment. Two experiments were used to test time-to-contact judgments around 4, 7, and 10 seconds. Both experiments showed subjects videos of a car moving down a road toward the viewer. The first experiment observed subjects' ability to discriminate between two different time-to-contact values. The second experiment measured subjects' absolute time-to-contact estimates. We found subjects to be accurate at both discriminating and estimating time-to-contact in a desktop environment. However, performance worsens at longer time ranges, those that pedestrians typically use in street-crossing decisions. Our discrimination thresholds are consistent with other time-to-contact work, and thus illustrate that desktop environments are plausible settings to use for time-to-contact studies.
机译:每年,成千上万的行人在交通事故中受伤或丧生。确定行人对过街决策的感知能力是一个重要的问题。本文通过寻求了解人们在台式机环境中对于短时到长时接触时间的接触时间判断来研究此问题。使用两个实验来测试大约4、7和10秒的接触时间判断。这两个实验都显示了拍摄对象的视频,该视频是汽车向观看者行驶的道路。第一个实验观察了受试者区分两个不同的接触时间值的能力。第二个实验测量了受试者的绝对接触时间估计。我们发现主题在区分和估计桌面环境中的联系时间方面都是准确的。但是,在较长的时间范围内(行人通常在过马路的决策中使用的时间范围),性能会变差。我们的判别阈值与其他接触时间工作保持一致,因此说明了桌面环境是用于接触时间研究的合理设置。

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