Multivariate summary of a complex scene

Jihong Lee, Sang Wook Hong, Sang Chul Chong

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


The current study investigated how people summarize and represent objects with multiple features to cope with the complexity due to the number of objects and feature dimensions. We presented a set of circles whose color and size were either correlated perfectly (r = 1) or not correlated at all (r = 0). Using a membership identification task, we found that participants formed a statistical representation that included information about conjunctions as well as each color and size dimensions. In addition, we found that participants represented different set boundaries depending on the correlation between features of a set. Lastly, a pair-matching task revealed that participants predicted one feature value from the other feature value based on the correlation between features of a set. Our findings suggest that people represent a multi-feature ensemble statistically as a multivariate feature distribution, which is an efficient strategy to cope with scene complexity.

Original languageEnglish
Pages (from-to)11-26
Number of pages16
JournalVision Research
Publication statusPublished - 2021 Dec

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

All Science Journal Classification (ASJC) codes

  • Ophthalmology
  • Sensory Systems


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