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Endogenous strategy in exploration.

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When searching in rougher environments, people explore more but find less. This suggests a trade-off between environmental guidance and systematic search strategies for optimal performance.

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Area of Science:

  • Cognitive Psychology
  • Behavioral Economics
  • Human-Computer Interaction

Background:

  • Understanding endogenous exploratory behaviors is crucial for designing effective search interfaces.
  • Limited external guidance necessitates reliance on internal search strategies.

Purpose of the Study:

  • To characterize how individuals explore environments with minimal external cues.
  • To investigate the impact of landscape "roughness" (spatial autocorrelation) on search performance and strategy.

Main Methods:

  • Participants performed a generalized search task to find the highest valued cell in an array.
  • Spatial autocorrelation was manipulated to create "smooth" (high correlation) and "rough" (low correlation) landscapes.
  • Search paths and performance were analyzed using generalized-recurrence analysis.

Main Results:

  • Search performance decreased in rougher landscapes despite increased sampling and search time.
  • Exploratory strategies shifted towards more systematic, space-filling patterns (regularized sweeps with localized infilling) as landscape roughness increased.
  • High-performing individuals exhibited more pronounced systematic search tendencies.

Conclusions:

  • A trade-off exists between environmental guidance (smooth landscapes) and systematicity (rough landscapes).
  • Individuals adapt their search strategies, favoring systematicity when external guidance is minimized.
  • Findings offer insights into human search behavior in information-scarce environments.