Kingdom F, Moulden B
Q J Exp Psychol A. 1989 Nov;41(4):675-96. doi: 10.1080/14640748908402389.
Two experiments that investigate the effect of various display factors on the detectability of a thin line signal in random visual noise are described. Three statistical decision models are described, together with their ability to account for the results. The first is an "ideal detector" model, the second an "energy integrator" model, and the third a model based upon the operation of retinal ganglion cells which incorporates a gain control mechanism. The ideal detector model fails to give a good account of human performance, whereas the other two models provide a good fit to the data. The digital Laplacian with gain control model has the slight advantage over the energy integrating model in being able to account for a small superiority in the detection of dark as opposed to bright signals. Finally, both models require the inclusion of an estimate of the internal noise of the human visual system to account for the pattern of performance observed under changing conditions of display contrast.
本文描述了两项实验，旨在研究各种显示因素对随机视觉噪声中细线信号可检测性的影响。文中介绍了三种统计决策模型及其对实验结果的解释能力。第一种是“理想探测器”模型，第二种是“能量积分器”模型，第三种是基于视网膜神经节细胞运作并包含增益控制机制的模型。理想探测器模型无法很好地解释人类的表现，而其他两种模型则能很好地拟合数据。具有增益控制的数字拉普拉斯模型在解释暗信号与亮信号检测中的微小优势方面，比能量积分模型略有优势。最后，两种模型都需要纳入对人类视觉系统内部噪声的估计，以解释在显示对比度变化条件下观察到的表现模式。
