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Measuring Spatial Factors in Comparative Judgments About Large Numerosities

机译:测量大量批判中的相比判断中的空间因素

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Numerical information is crucial to successful performance on many tasks. Accordingly, as a basis for developing augmented cognition applications, it is important to understand how people apprehend numerical information and whether there are systematic limitations on their ability to do so accurately. This paper reports research on the role of non-numerical spatial information and of numerical representations in adults’ judgments about large-numerosity spatial arrays. Arrays that contained more open space tended to be perceived as less numerous than ones with less open space. Further, the accuracy with which viewers estimated the arrays’ numerosities bore little relation to their success in identifying the more numerous array in each pair. Numerical judgments thus are heavily influenced by spatial information that is not necessarily a reliable cue to numerosity. While some information about absolute numerosity is extracted in making numerical comparisons, it appears to be very imprecise.
机译:数值信息对于许多任务的成功表现至关重要。因此,作为开发增强认知应用的基础,重要的是要了解人们如何理解数值信息以及是否有系统局限性对其进行准确的能力。本文报告了关于大量空间阵列的非数空间信息和成人数值表示的作用的研究。包含更多开放空间的阵列往往被认为是不得不被认为的少于较少的空间。此外,观看者估计阵列的算术的准确性与其成功相对于识别每对中的更多阵列的成功而言。因此,数值判断受到空间信息的严重影响,这些信息不一定是对数量可靠的提示。虽然提取有关绝对数量的一些信息在进行数值比较时,似乎非常不精确。

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