Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Optimal Foraging00:48

Optimal Foraging

How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Live music enhances self-reported audience immersion and physiological synchrony compared to live-streaming.

Scientific reports·2026
Same author

Corrigendum to "Slower rates of prism adaptation but intact aftereffects in patients with early to mid-stage Parkinson's disease" [Neuropsychologia, 189, (2023) Epub 2023: 108681].

Neuropsychologia·2026
Same author

TraceLAB: A MATLAB Toolbox for Interindividual Synchrony Analysis of Facial Expression and Head Movement Data Acquired via Trace.

Entropy (Basel, Switzerland)·2026
Same author

A timely warning: Clock drawing errors in young adults and the long-term validity of cognitive screens.

The Clinical neuropsychologist·2026
Same author

Aging and motor adaptation: Increased movement variability, slowing rates of adaptation, and smaller aftereffects.

Psychology and aging·2026
Same author

Visuomotor adaptation and savings to constant and varying visual feedback delays in a driving simulator.

Journal of vision·2026

Related Experiment Video

Updated: Jul 8, 2026

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
07:43

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Published on: June 17, 2019

Visual search and foraging compared in a large-scale search task.

Alastair D Smith1, Bruce M Hood, Iain D Gilchrist

  • 1Department of Experimental Psychology, University of Bristol, 12 a Priory Road, Bristol BS8 1TU, UK. Alastair.Smith@bristol.ac.uk

Cognitive Processing
|January 12, 2008
PubMed
Summary

Visual search is not a perfect model for human foraging. Non-visually guided foraging is significantly slower and scales differently with display size than visual search tasks.

More Related Videos

Tracking Sugar-Elicited Local Searching Behavior in Drosophila
03:53

Tracking Sugar-Elicited Local Searching Behavior in Drosophila

Published on: November 17, 2023

Related Experiment Videos

Last Updated: Jul 8, 2026

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
07:43

Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients

Published on: June 17, 2019

Tracking Sugar-Elicited Local Searching Behavior in Drosophila
03:53

Tracking Sugar-Elicited Local Searching Behavior in Drosophila

Published on: November 17, 2023

Area of Science:

  • Cognitive Psychology
  • Human Behavior
  • Spatial Cognition

Background:

  • The visual search paradigm is often used to model human foraging behavior.
  • However, significant differences exist in spatial coding and search effort between these tasks.
  • A direct comparison is needed to validate visual search as a general foraging model.

Purpose of the Study:

  • To directly compare visually guided search with non-visually guided foraging within a unified experimental context.
  • To investigate how search performance differs based on target visibility and spatial scale.
  • To evaluate the applicability of the visual search paradigm to broader human search behaviors.

Main Methods:

  • Participants performed visually guided search tasks (feature-present and feature-absent targets) and a non-visually guided foraging task in a novel apparatus with floor-embedded lights.
  • Search latencies and error patterns were recorded under varying display sizes and search conditions.
  • Eye-movement data was analyzed to compare search strategies.

Main Results:

  • Visually guided search results aligned with conventional visual search paradigms, showing non-linear latency for feature-present targets and increased latency with distractors for feature-absent targets.
  • Non-visually guided foraging yielded significantly longer search latencies that increased markedly with display size.
  • Few revisit errors were observed in the non-visually guided condition, contrasting with typical visual search eye-movement patterns.

Conclusions:

  • The visual search paradigm is an equivocal model for general human search behavior due to fundamental differences in visually guided versus non-visually guided processes.
  • Human spatial search is complex, requiring models that encompass both small and large scales, and visually guided and non-visually guided strategies.
  • Future models of human spatial search must integrate these distinct search modalities for a comprehensive understanding.