Hübner R
Institut für Psychologie, Technische Universität Braunschweig, Germany.
Biol Cybern. 1993;69(5-6):457-62.
Inferior human signal-detection behavior compared with that of ideal observers has been explained by intrinsic uncertainty of the human observer with respect to certain signal parameters. One way to model this uncertainty is to assume that the observer simultaneously monitors multiple channels, corresponding to possible parameters. However, it is also conceivable to assume that an observer, uncertain about which channel to monitor, chooses a suboptimally tuned single filter. Finally, uncertainty may also cause the filter underlying a single channel to broaden. In this paper these different models are investigated with respect to spatial-frequency uncertainty for matched filters detecting Gabor signals. All three mechanisms predict a decrease in detection performance. However, it is shown that the resulting psychometric functions are different. While the slopes increase with uncertainty for the multiple-channel models, they decrease for a randomly chosen single channel. Broadening a single filter leads to parallel psychometric functions.
与理想观察者相比，人类较低的信号检测行为已被解释为人类观察者在某些信号参数方面存在内在不确定性。对这种不确定性进行建模的一种方法是假设观察者同时监测多个通道，这些通道对应于可能的参数。然而，也可以设想，观察者不确定要监测哪个通道，从而选择了一个调谐欠佳的单一滤波器。最后，不确定性还可能导致单个通道的基础滤波器变宽。在本文中，针对检测Gabor信号的匹配滤波器的空间频率不确定性，对这些不同模型进行了研究。所有这三种机制都预测检测性能会下降。然而，结果表明，由此产生的心理测量函数是不同的。对于多通道模型，斜率会随着不确定性增加，而对于随机选择的单个通道，斜率会减小。单个滤波器变宽会导致心理测量函数平行。
