Department of Psychology & Research Center for Translational Medicine, Koç University, Rumelifeneri yolu, Sarıyer, 34450, Istanbul, Turkey.
Psychon Bull Rev. 2018 Aug;25(4):1549-1555. doi: 10.3758/s13423-018-1506-x.
Error monitoring has recently been discovered to have informationally rich foundations in the timing domain. Based on the common properties of magnitude-based representations, we hypothesized that judgments on the direction and the magnitude of errors would also reflect their objective counterparts in the numerosity domain. In two experiments, we presented fast sequences of "beeps" with random interstimulus intervals and asked participants to stop the sequence when they thought the target count (7, 11, or 19) had been reached. Participants then judged how close to the target they stopped the sequence, and whether their response undershot or overshot the target. Individual linear regression fits as well as the linear mixed model with a fixed effect of reproduced numerosity on confidence ratings, and participants as independent random effects on the intercept and the slope, revealed significant positive slopes for all the target numerosities. Our results suggest that humans can keep track of the direction and degree of errors in the estimation of discrete quantities, pointing at a numerical-error-monitoring ability.
错误监控最近在时间域中被发现具有丰富的信息基础。基于基于大小的表示的共同特性，我们假设对错误的方向和大小的判断也会反映它们在数值域中的客观对应物。在两项实验中，我们呈现了快速的“哔哔”声序列，其随机的刺激间隔，并要求参与者在他们认为目标计数（7、11 或 19）已达到时停止序列。然后，参与者判断他们停止序列的目标有多近，以及他们的反应是否低于或高于目标。个体线性回归拟合以及具有再现数值的固定效果的线性混合模型对置信度评分的影响，以及参与者作为截距和斜率的独立随机效应，都表明所有目标数值都有显著的正斜率。我们的结果表明，人类可以跟踪离散数量估计中的方向和误差程度，这表明了一种数字错误监控能力。
