Leibovich Tali, Al-Rubaiey Kadhim Saja, Ansari Daniel
Numerical Cognition Laboratory, Department of Psychology & Brain and Mind Institute, The University of Western Ontario, Canada.
Numerical Cognition Laboratory, Department of Psychology & Brain and Mind Institute, The University of Western Ontario, Canada.
Acta Psychol (Amst). 2017 Apr;175:33-41. doi: 10.1016/j.actpsy.2017.02.004. Epub 2017 Mar 7.
Can physical size affect number estimation? Previous studies have shown that physical size influences non-symbolic numerosity in comparison tasks (e.g. which of two dots is larger). The current study investigated the conditions under which physical size can affect numerosity estimation. We employed a line mapping task in order to avoid the context of comparison and the need to provide a verbal label to estimate a quantity. Adult participants were briefly presented with the digits 2-8 or groups of 2-8 dots in 3 different physical sizes and were asked to estimate the position of a presented numerosity on a vertical line from 0 to 10. Physical size affected number estimation only above the subitizing range (i.e., >4) and only for non-symbolic numbers (e.g. dot arrays). Presenting non-symbolic numbers as canonical arrangements (like on a game die) reduced the effect of the physical size in the counting range (5-9). Accordingly, we suggest that the effect of task-irrelevant physical size on performance is modulated by the ability of participants to provide an accurate estimate of number: when the estimated number is easier to perceive (i.e., subitizing range or canonical arrangements), the influence of the physical size is smaller compared to when it is more difficult to give an accurate estimate of number (i.e., counting range, random arrangement). By doing so, we describe the factors that modulate the effect of physical size on number processing and provide another example of the important role continuous properties, such as physical size, play in non-symbolic number processing.
物体大小会影响数字估计吗?先前的研究表明,在比较任务中(例如两个点中哪个更大),物体大小会影响非符号数字量。当前的研究调查了物体大小能够影响数字量估计的条件。我们采用了一种线条映射任务,以避免比较的情境以及为估计数量提供语言标签的需求。向成年参与者短暂呈现数字2 - 8或2 - 8个点的组,这些点有3种不同的物理大小,并要求他们估计所呈现数字量在0到10的垂直线上的位置。物体大小仅在一眼识数范围之上(即>4)且仅对非符号数字(例如点阵)影响数字估计。将非符号数字呈现为标准排列(如在游戏骰子上)会降低计数范围内(5 - 9)物体大小的影响。因此,我们认为与任务无关的物体大小对表现的影响是由参与者准确估计数字的能力调节的:当估计的数字更容易感知时(即一眼识数范围或标准排列),与更难准确估计数字时(即计数范围、随机排列)相比,物体大小的影响更小。通过这样做,我们描述了调节物体大小对数字处理影响的因素,并提供了另一个例子,说明诸如物体大小等连续属性在非符号数字处理中所起的重要作用。