Probabilistic cueing in large-scale environmental search

Alastair D. Smith*, Bruce M. Hood, Iain D. Gilchrist

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

33 Citations (Scopus)

Abstract

Finding an object in our environment is an important human ability that also represents a critical component of human foraging behavior One type of information that aids efficient large-scale search is the likelihood of the object being in one location over another In this study we investigated the conditions under which individuals respond to this likelihood, and the reference frames in which this information is coded, using a novel, large-scale environmental search paradigm Participants searched an array of locations, on the floor of a room, for a hidden target by pressing switches at each location We manipulated the probability of the target being at a particular set of locations Participants reliably learned target likelihoods when the possible search locations were kept constant throughout the experiment and the starting location was fixed There was no evidence of such learning when room-based and body-based reference frames were dissociated However, when this was combined with a more salient perceptual landmark, an allocentric cuing effect was observed These data suggest that the encoding of this type of statistical contingency depends on the combination of spatial cues.

Translated title of the contributionProbabilistic cueing in large-scale environmental search
Original languageEnglish
Pages (from-to)605-618
Number of pages14
JournalJournal of Experimental Psychology: Learning, Memory, and Cognition
Volume36
Issue number3
DOIs
Publication statusPublished - May 2010

Research Groups and Themes

  • Developmental (Psychological Science)

Keywords

  • search
  • probability
  • foraging
  • REAL-WORLD SCENES
  • VISUAL-SEARCH
  • GUIDED SEARCH
  • NAVIGATION
  • MEMORY
  • ATTENTION
  • SPACE
  • REORIENTATION
  • INHIBITION
  • LANDMARKS

Fingerprint

Dive into the research topics of 'Probabilistic cueing in large-scale environmental search'. Together they form a unique fingerprint.

Cite this