ERIC Number: EJ1386916
Record Type: Journal
Publication Date: 2023
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2363-8761
Available Date: N/A
Successful Discrimination of Tiny Numerical Differences
Journal of Numerical Cognition, v9 n1 p196-205 2023
Are there some differences so small that we cannot detect them? Are some quantities so similar (e.g., the number of spots on two speckled hens) that they simply look the same to us? Although modern psychophysical theories such as Signal Detection Theory would predict that, with enough trials, even minute differences would be perceptible at an above-chance rate, this prediction has rarely been empirically tested for any psychological dimension, and never for the domain of number perception. In an experiment with over 400 adults, we find that observers can distinguish which of two collections has more dots from a brief glance. Impressively, observers performed above chance on every numerical comparison tested, even when discriminating a comparison as difficult as 50 versus 51 dots. Thus, we present empirical evidence that numerical discrimination abilities, consistent with SDT, are remarkably fine-grained.
Descriptors: Number Concepts, Numeracy, Perception, Discrimination Learning, Psychological Patterns, Accuracy, Maximum Likelihood Statistics, Prediction
Leibniz Institute for Psychology. Universitatsring 15, Trier, 54296, Germany. e-mail: support@psychopen.eu; Web site: https://jnc.psychopen.eu
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: DGE1746891
Author Affiliations: N/A