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人群(颞侧)中的一张脸。

A face in a (temporal) crowd.

作者信息

Hacker Catrina M, Meschke Emily X, Biederman Irving

机构信息

Program in Neuroscience, University of Southern California, United States.

Program in Neuroscience, University of Southern California, United States; Department of Psychology, University of Southern California, United States.

出版信息

Vision Res. 2019 Apr;157:55-60. doi: 10.1016/j.visres.2018.02.007. Epub 2018 Mar 20.

Abstract

Familiar objects, specified by name, can be identified with high accuracy when embedded in a rapidly presented sequence of images at rates exceeding 10 images/s. Not only can target objects be detected at such brief presentation rates, they can also be detected under high uncertainty, where their classification is defined negatively, e.g., "Not a Tool." The identification of a familiar speaker's voice declines precipitously when uncertainty is increased from one to a mere handful of possible speakers. Is the limitation imposed by uncertainty, i.e., the number of possible individuals, a general characteristic of processes for person individuation such that the identifiability of a familiar face would undergo a similar decline with uncertainty? Specifically, could the presence of an unnamed celebrity, thus any celebrity, be detected when presented in a rapid sequence of unfamiliar faces? If so, could the celebrity be identified? Despite the markedly greater physical similarity of faces compared to objects that are, say, not tools, the presence of a celebrity could be detected with moderately high accuracy (∼75%) at rates exceeding 7 faces/s. False alarms were exceedingly rare as almost all the errors were misses. Detection accuracy by moderate congenital prosopagnosics was lower than controls, but still well above chance. Given the detection of the presence of a celebrity, all subjects were almost always able to identify that celebrity, providing no role for a covert familiarity signal outside of awareness.

摘要

当以超过每秒10张图像的速度嵌入快速呈现的图像序列中时,通过名称指定的熟悉物体能够以高精度被识别。不仅目标物体能在如此短暂的呈现速度下被检测到,而且在高度不确定的情况下也能被检测到,此时它们的分类是消极定义的,例如“不是工具”。当不确定性从一个可能的说话者增加到仅仅几个可能的说话者时,熟悉说话者声音的识别率会急剧下降。不确定性所带来的限制,即可能个体的数量,是个体识别过程的一个普遍特征吗?以至于熟悉面孔的可识别性会随着不确定性而经历类似的下降?具体来说,当一位未具名的名人出现在一系列快速呈现的陌生面孔中时,能被检测到吗?如果可以,能识别出这位名人吗?尽管与比如非工具类物体相比,面孔在物理上的相似性明显更高,但当呈现速度超过每秒7张面孔时,名人的出现仍能以适度较高的准确率(约75%)被检测到。误报极其罕见,因为几乎所有错误都是漏报。中度先天性面孔失认症患者的检测准确率低于对照组,但仍远高于随机水平。鉴于名人的出现已被检测到,所有受试者几乎总能识别出这位名人,这表明在意识之外不存在隐蔽的熟悉信号。

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