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Human foraging behavior in a virtual environment.

Robert L Goldstone1, Benjamin C Ashpole

  • 1Psychology Department, Indiana University, Bloomington, IN 47405, USA. rgoldsto@indiana.edu

Psychonomic Bulletin & Review
|September 21, 2004
PubMed
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Human participants in a virtual world foraging for resources showed suboptimal distribution and underutilized richer pools. Limited visibility exacerbated these inefficiencies, highlighting the impact of individual knowledge on collective resource harvesting.

Area of Science:

  • Behavioral Economics
  • Virtual Environment Studies
  • Resource Management

Background:

  • Understanding collective behavior in resource acquisition is crucial.
  • Previous studies often lack real-time, large-scale human interaction in virtual settings.
  • Investigating how environmental visibility affects group foraging strategies is needed.

Purpose of the Study:

  • To develop and utilize a virtual platform for studying human group foraging behavior.
  • To examine how resource distribution, replenishment rates, and visibility influence foraging efficiency.
  • To identify deviations from optimal resource allocation strategies in a dynamic virtual environment.

Main Methods:

  • A real-time virtual world platform was created for human participant interaction.

Related Experiment Videos

  • Participants foraged for resources in two pools with varied replenishment rates (50-50, 65-35, 80-20).
  • Visibility conditions were manipulated: full visibility vs. restricted to local resources.
  • Main Results:

    • Participants exhibited suboptimal scattering within pools and underutilized richer resource pools.
    • Resource pool distribution was disproportionate to replenishment rates (e.g., 73% vs. 27% for 80% vs. 20% rates).
    • Oscillations in harvesting rates (approx. 50-second cycles) were observed, amplified by reduced visibility.

    Conclusions:

    • Individual knowledge and visibility significantly impact collective foraging efficiency in virtual environments.
    • Restricted visibility increases suboptimal resource distribution and harvesting oscillations.
    • The study provides insights into human decision-making and collective action in dynamic resource scenarios.