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Efficiency of the human observer for detecting a Gaussian signal at a known location in non-Gaussian distributed lumpy backgrounds

机译:人类观察者在非高斯分布块状背景中的已知位置检测高斯信号的效率

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摘要

A previous study [J. Opt. Soc. Am. A 22, 3 (2005)] has shown that human efficiency for detecting a Gaussian signal at a known location in non-Gaussian distributed lumpy backgrounds is approximately 4percent. This human efficiency is much less than the reported 40percent efficiency that has been documented for Gaussian-distributed lumpy backgrounds [J. Opt. Soc. Am. A 16, 694 (1999) and J. Opt. Soc. Am. A 18, 473 (2001)]. We conducted a psychophysical study with a number of changes, specifically in display-device calibration and data scaling, from the design of the aforementioned study. Human efficiency relative to the ideal observer was found again to be approximately 5percent. Our variance analysis indicates that neither scaling nor display made a statistically significant difference in human performance for the task. We conclude that the non-Gaussian distributed lumpy background is a major factor in our low human-efficiency results.
机译:以前的研究[J.选择。 Soc。上午。 [22,3(2005)]已经表明,在非高斯分布的块状背景中已知位置检测人类高斯信号的效率约为4%。这种人工效率远低于已报道的针对高斯分布的块状背景的40%的效率[J.选择。 Soc。上午。 A 16,694(1999)和J. Soc。上午。 A 18,473(2001)]。根据上述研究的设计,我们进行了一项心理物理研究,其中有很多变化,特别是在显示设备校准和数据缩放方面。再次发现,相对于理想观察者的人员效率约为5%。我们的方差分析表明,缩放和显示都不会对该任务的人员绩效产生统计学上的显着差异。我们得出的结论是,非高斯分布的块状背景是导致人类效率降低的主要因素。

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