scholarly journals Deconstructing the Cognitive Estimation Task: A Developmental Examination and Intra-Task Contrast

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Sarit Silverman ◽  
Sarit Ashkenazi
2017 ◽  
Vol 2 (3) ◽  
pp. 220-246
Author(s):  
Sarit Ashkenazi ◽  
Yulia Tsyganov

There is a current debate on whether the cognitive system has a shared representation for all magnitudes or whether there are unique representations. To investigate this question, we used the Biber cognitive estimation task. In this task, participants were asked to provide estimates for questions such as, “How many sticks of spaghetti are in a package?” The task uses different estimation categories (e.g., time, numerical quantity, distance, and weight) to look at real-life magnitude representations. Experiment 1 assessed (N = 95) a Hebrew version of the Biber Cognitive Estimation Task and found that different estimation categories had different relations, for example, weight, time, and distance shared variance, but numerical estimation did not. We suggest that numerical estimation does not require the use of measurement in units, hence, it represents a more “pure” numerical estimation. Experiment 2 found that different factors explain individual abilities in different estimation categories. For example, numerical estimation was predicted by preverbal innate quantity understanding (approximate number sense) and working memory, whereas time estimations were supported by IQ. These results demonstrate that cognitive estimation is not a unified construct.


2015 ◽  
Vol 36 (10) ◽  
pp. 1889-1895 ◽  
Author(s):  
Federica Scarpina ◽  
Guido E. D’Aniello ◽  
Alessandro Mauro ◽  
Gianluca Castelnuovo ◽  
Sarah E. MacPherson

PLoS ONE ◽  
2014 ◽  
Vol 9 (3) ◽  
pp. e92554 ◽  
Author(s):  
Sarah E. MacPherson ◽  
Gabriela Peretti Wagner ◽  
Patrick Murphy ◽  
Marco Bozzali ◽  
Lisa Cipolotti ◽  
...  

2004 ◽  
Vol 251 (2) ◽  
pp. 156-164 ◽  
Author(s):  
Sergio Della Sala ◽  
Sarah E. MacPherson ◽  
Louise H. Phillips ◽  
Leonardo Sacco ◽  
Hans Spinnler

Author(s):  
Virginie Crollen ◽  
Julie Castronovo ◽  
Xavier Seron

Over the last 30 years, numerical estimation has been largely studied. Recently, Castronovo and Seron (2007) proposed the bi-directional mapping hypothesis in order to account for the finding that dependent on the type of estimation task (perception vs. production of numerosities), reverse patterns of performance are found (i.e., under- and over-estimation, respectively). Here, we further investigated this hypothesis by submitting adult participants to three types of numerical estimation task: (1) a perception task, in which participants had to estimate the numerosity of a non-symbolic collection; (2) a production task, in which participants had to approximately produce the numerosity of a symbolic numerical input; and (3) a reproduction task, in which participants had to reproduce the numerosity of a non-symbolic numerical input. Our results gave further support to the finding that different patterns of performance are found according to the type of estimation task: (1) under-estimation in the perception task; (2) over-estimation in the production task; and (3) accurate estimation in the reproduction task. Moreover, correlation analyses revealed that the more a participant under-estimated in the perception task, the more he/she over-estimated in the production task. We discussed these empirical data by showing how they can be accounted by the bi-directional mapping hypothesis ( Castronovo & Seron, 2007 ).


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bo Dong ◽  
Airui Chen ◽  
Yuting Zhang ◽  
Yangyang Zhang ◽  
Ming Zhang ◽  
...  

AbstractInaccurate egocentric distance and speed perception are two main explanations for the high accident rate associated with driving in foggy weather. The effect of foggy weather on speed has been well studied. However, its effect on egocentric distance perception is poorly understood. The paradigm for measuring perceived egocentric distance in previous studies was verbal estimation instead of a nonverbal paradigm. In the current research, a nonverbal paradigm, the visual matching task, was used. Our results from the nonverbal task revealed a robust foggy effect on egocentric distance. Observers overestimated the egocentric distance in foggy weather compared to in clear weather. The higher the concentration of fog, the more serious the overestimation. This effect of fog on egocentric distance was not limited to a certain distance range but was maintained in action space and vista space. Our findings confirm the foggy effect with a nonverbal paradigm and reveal that people may perceive egocentric distance more "accurately" in foggy weather than when it is measured with a verbal estimation task.


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