Ensemble statistics as units of selection

Hee Yeon Im, Woon Ju Park, Sang Chul Chong

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The current study investigated whether attentional mechanisms operate on ensembles as higher-order units for selection. In Experiment 1, we presented sets of circles and asked participants to compare the mean sizes of the sets while concurrently detecting a small probe appearing at a centroid of one of the sets. We found that, both with and even without the task instruction to favour larger mean sizes, people's mean size judgement was more accurate for the sets with larger mean sizes. In addition, detection of the probe appearing in the set with the largest mean size was facilitated by a matching task instruction. However, when the task instruction favoured smaller mean sizes, mean size judgement became more accurate for the sets with smaller mean sizes. These results suggest that attentional selection can be based on ensembles. In Experiment 2, we found further evidence that attention was directed towards the centroid of an ensemble, rather than towards an individual member of the ensemble. Together, these results suggest that attentional modulation can operate at the level of ensembles instead of selecting individuals separately and that the centroid of an ensemble can be the locus of selection based on an ensemble.

Original languageEnglish
Pages (from-to)114-127
Number of pages14
JournalJournal of Cognitive Psychology
Volume27
Issue number1
DOIs
Publication statusPublished - 2015 Jan 2

Bibliographical note

Funding Information:
Correspondence should be addressed to Sang Chul Chong, Department of Psychology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, Korea. E-mail: scchong@yonsei.ac.kr This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology [grant number 2011-0025005]. No potential conflict of interest was reported by the authors.

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology

Fingerprint Dive into the research topics of 'Ensemble statistics as units of selection'. Together they form a unique fingerprint.

Cite this