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Spatial organization to facilitate action

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  • Grayden J F Solman
  • Alan Kingstone

Abstract

Humans exert a great deal of control over our local environments–selecting and arranging the many objects around us on the basis of conflicting task-demands, aesthetic preferences, and habitual convenience. Because routine behaviour necessitates that we regularly find and access these objects, the particular arrangements we choose can influence the likelihood and difficulty of engaging in different tasks and actions. Despite this importance, relatively little research has directly examined human organizational behaviours and tendencies. Here we investigate how objects in a computer-based search task are freely and dynamically arranged by participants over time, while manipulating the statistics of the target sequence. We report common organizational behaviours including reduction of distance between targets as well as separation of target subsets with high community. However, the extent of these behaviours and their relationship to individual differences in performance varies as a function of the target sequence structure. In particular, tasks composed of a larger number of smaller groups of targets lead to better organizational and performance outcomes than tasks composed of fewer larger groups.

Suggested Citation

  • Grayden J F Solman & Alan Kingstone, 2019. "Spatial organization to facilitate action," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-22, May.
  • Handle: RePEc:plo:pone00:0216342
    DOI: 10.1371/journal.pone.0216342
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    1. Sebastiano Sorbello & Eleonora Bossi & Camilla Zandalasini & Greta Carioli & Carlo Signorelli & Fabio Ciceri & Alberto Ambrosio & Alberto Zangrillo & Anna Odone, 2021. "After Action Reviews of COVID‐19 response: Case study of a large tertiary care hospital in Italy," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(5), pages 1758-1771, September.
    2. Martins, Thales G.V. & Reis, Geraldo G. & Reis, Maria G.F. & Telles, Lucas A.A. & Lage, Mayara R. & Mendes, Gleidson G.C. & Pinto, Dayane L. & Castro, Nero L.M. & Lorenzon, Alexandre S. & Silva, Ricar, 2020. "Potential planting areas for native tree species in minas gerais state, Brazil, based on environmental variables and wood demand," Ecological Modelling, Elsevier, vol. 432(C).

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