Evidence for a Global Sampling Process in Extraction of Summary Statistics of Item Sizes in a Set.

ABSTRACT: Several studies have shown that our visual system may construct a "summary statistical representation" over groups of visual objects. Although there is a general understanding that human observers can accurately represent sets of a variety of features, many questions on how summary statistics, such as an average, are computed remain unanswered. This study investigated sampling properties of visual information used by human observers to extract two types of summary statistics of item sets, average and variance. We presented three models of ideal observers to extract the summary statistics: a global sampling model without sampling noise, global sampling model with sampling noise, and limited sampling model. We compared the performance of an ideal observer of each model with that of human obs

SUBMITTER: Tokita M 

PROVIDER: S-EPMC4866529 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature