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MASKING OF MOTION CUES BY RANDOM MOTION: COMPARISON OF HUMAN PERFORMANCE WITH A SIGNAL DETECTION MODEL.

机译:随机动作掩盖动作提示:人的行为与信号检测模型的比较。

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摘要

This report describes an investigation of human sensitivity to whole-body motion. Specifically, it discusses the ability of human subjects to detect a sinusoidal motion signal superimposed on a background of random motion. The purpose of the study was to determine the conditions in which motion cues are masked or hidden by concurrent random motion. The results have applications to flight simulation, and will also be of interest to other researchers working in the area of human perceptual performance.; It is proposed that for the situation under study, motion perception is a signal-in-noise detection process which can be modelled using signal detection theory. A brief review of signal detection theory is provided. Three ideal detectors adapted from the literature on auditory perception are proposed as potential models for motion perception.; Three motion perception experiments were run. In the first, a rating procedure was used to obtain receiver operating characteristic (ROC) curves for human subjects detecting sinusoidal motion in a background of low power broadband random motion. A good fit to the data was obtained using ROC curves based on Gaussian distributions of signal and noise. The second experiment used a 2-alternative forced choice task to determine the detectability of sinusoidal motion in a variety of noise conditions. The results show that detectability can be expressed as a function of signal-to-noise ratio, and that sinusoidal motion is masked primarily by noise components which are near the signal frequency. The third experiment tested the extent to which noise on one axis masks a signal on another axis. Inter-axis effects were found to be small, but significant. All three experiments provided an estimate of the slope of the psychometric curve.; Of the three ideal detectors considered, the energy detector agrees best with the experimental data. The data are compared in detail with the predictions of the energy detector. A simplified method for estimating signal detectability in arbitrary conditions is presented. Finally, the implications of the results for flight simulation are discussed.
机译:该报告描述了人类对全身运动敏感性的调查。具体地说,它讨论了人类对象检测叠加在随机运动背景上的正弦运动信号的能力。该研究的目的是确定运动提示被并发随机运动掩盖或隐藏的条件。该结果可用于飞行模拟,也将对从事人类感知性能研究的其他研究人员感兴趣。提出针对所研究的情况,运动感知是可以使用信号检测理论建模的噪声信号检测过程。简要介绍了信号检测理论。根据听觉感知的文献,提出了三种理想的探测器作为运动感知的潜在模型。进行了三个运动感知实验。首先,使用一种评估程序来获得在低功率宽带随机运动背景下检测正弦运动的人类受试者的接收器工作特性(ROC)曲线。使用基于信号和噪声的高斯分布的ROC曲线,可以很好地拟合数据。第二个实验使用2项强制选择任务确定各种噪声条件下正弦运动的可检测性。结果表明,可检测性可以表示为信噪比的函数,并且正弦运动主要被接近信号频率的噪声分量掩盖。第三个实验测试了一个轴上的噪声掩盖另一个轴上的信号的程度。发现轴间影响很小,但是很明显。这三个实验都提供了心理测度曲线斜率的估计值。在考虑的三个理想探测器中,能量探测器与实验数据最吻合。将数据与能量检测器的预测进行详细比较。提出了一种在任意条件下估计信号可检测性的简化方法。最后,讨论了结果对飞行模拟的影响。

著录项

  • 作者

    GREIG, GLENN LEWIS.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 1987
  • 页码
  • 总页数
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 航空、航天技术的研究与探索;
  • 关键词

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