Related Experiment Video
Updated: Sep 27, 2025

The Spatial Memory Game: Testing the Relationship Between Spatial Language, Object Knowledge, and Spatial Cognition
Published on: February 19, 2018
Great Minds Think Alike? Spatial Search Processes Can Be More Idiosyncratic When Guided by More Accurate Information
Michal Król1, Magdalena E Król2
1School of Business and Law, Universitetet i Agder.
Individual differences in information sampling strategies emerge when people are better informed. Poorly informed individuals rely on default search routines, suggesting unique strategies aren't always optimal.
Area of Science:
- Cognitive psychology
- Decision-making science
- Computational neuroscience
Background:
- Pre-decisional information sampling strategies exhibit stable individual differences.
- The drivers of idiosyncratic information sampling remain largely unexplored.
Purpose of the Study:
- To investigate the factors influencing individual differences in spatial search strategies.
- To quantify the idiosyncrasy of search trajectories using novel computational methods.
Main Methods:
- A pre-registered online study involving spatial search tasks.
- Application of machine-learning dimension reduction and sequence alignment algorithms.
- Quantification of search trajectory shape and temporal properties for idiosyncrasy.
Main Results:
- Search trajectory idiosyncrasy increases with better information about target location.
- Poorly informed individuals utilize default, bottom-up search routines.
- Individual search patterns are not necessarily indicative of optimal strategies.
Conclusions:
- Informed individuals exhibit more unique information sampling behaviors.
- Task-specific knowledge influences the adoption of search strategies.
- Default search routines may be employed in the absence of specific information.
Related Concept Videos
Types of Global Positioning System Surveys
Errors in Global Positioning System
Field Application of Global Positioning System
Selected Data About Geographic Locations
Depth Perception and Spatial Vision
Introduction to GIS

