Graphical Aids to the Estimation and Discrimination of Uncertain Numerical Data.

ABSTRACT: This research investigates the performance of graphical dot arrays designed to make discrimination of relative numerosity as effortless as possible at the same time as making absolute (quantitative) numerosity estimation as effortful as possible. Comparing regular, random, and hybrid (randomized regular) configurations of dots, the results indicate that both random and hybrid configurations reduce absolute numerosity estimation precision, when compared with regular dots arrays. However, discrimination of relative numerosity is significantly more accurate for hybrid dot arrays than for random dot arrays. Similarly, human subjects report significantly lower levels of subjective confidence in judgments when using hybrid dot configurations as compared with regular configurations; and significa

SUBMITTER: Jeong MH 

PROVIDER: S-EPMC4634229 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature