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ISSN : 1226-9654

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Vol.29 No.2
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The Effect of Density and Size Variance on Numerosity Estimation

The Korean Journal of Cognitive and Biological Psychology / The Korean Journal of Cognitive and Biological Psychology, (P)1226-9654; (E)2733-466X
2017, v.29 no.2, pp.173-180
https://doi.org/10.22172/cogbio.2017.29.2.005


& (2017). The Effect of Density and Size Variance on Numerosity Estimation. The Korean Journal of Cognitive and Biological Psychology, 29(2), 173-180, https://doi.org/10.22172/cogbio.2017.29.2.005
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Abstract

In our daily life, it is important to estimate the approximate number of objects containing various sizes and appearing in different densities. However, previous studies mostly used dot stimuli with uniform sizes (Burr & Ross, 2008a; Durgin, 1995). In this study, we investigated how density and size variance influenced numerosity estimation. We found that numerosity was underestimated when density and size variance increased. There was no significant interaction between the density and the size variance. Also, we observed that numerosity was directly estimated by the number mechanism itself across all the range of density, different from the results of previous research. We suggest that this different result is due to various sizes used in this study, which helps the visual system to individuate each object to count.

keywords
개수추정, 크기 변산, 밀도, Numerosity estimation, Size variance, Density

Reference

1.

Allik, J., & Tuulmets, T. (1991). Occupancy model of perceived numerosity. Perception &Psychophysics, 49, 303-314.

2.

Anobile, G., Cicchini, G. M., & Burr, D. C. (2014). Separate mechanisms for perception of numerosity and density. Psychological Science, 25, 265-270.

3.

Bauer, B. (2009). The danger of trial-by-trial knowledge of results in perceptual averaging studies. Attention, Perception, &Psychophysics, 71, 655-665.

4.

Brainard, D. H. (1997). The Psychophysics Toolbox. Spatial Vision, 10, 433-436.

5.

Burr, D., & Ross, J. (2008a). A visual sense of number. Current Biology, 18, 425-428.

6.

Burr, D., & Ross, J. (2008b). Response: visual number. Current Biology, 18, 857-858.

7.

Dakin, S. C., Tibber, M. S., Greenwood, J. A., & Morgan, M. J. (2011). A common visual metric for approximate number and density. Proceedings of the National Academy of Sciences, 108, 19552-19557.

8.

Dehaene, S. (2003). The neural basis of the Weber –Fechner law: a logarithmic mental number line. Trends in Cognitive Sciences, 7, 145-147.

9.

Durgin, F. H. (1995). Texture density adaptation and the perceived numerosity and distribution of texture. Journal of Experimental Psychology:Human Perception and Performance, 21, 149-169.

10.

Durgin, F. H. (2008). Texture density adaptation and visual number revisited. Current Biology, 18, 855-856.

11.

Halberda, J., Mazzocco, M. M., & Feigenson, L. (2008). Individual differences in non-verbal number acuity correlate with maths achievement. Nature, 455, 665-668.

12.

Lee, H., Baek, J., & Chong, S. C. (2016). Perceived magnitude of visual displays: Area, numerosity, and mean size. Journal of Vision, 16(3), 1-11.

13.

Morgan, M. J., Raphael, S., Tibber, M. S., & Dakin, S. C. (2014). A texture-processing model of the ‘visual sense of number’. Proceedings of the Royal Society B: Biological Sciences, 281(1790), 1-9.

14.

Pelli, D. G. (1997). The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision, 10, 437-442.

15.

Ross, J., & Burr, D. C. (2010). Vision senses number directly. Journal of Vision, 10(2), 1-8.

16.

Starkey, P., & Cooper, R. G. (1980). Perception of numbers by human infants. Science, 210, 1033-1035.

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