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Updated: Jun 6, 2026

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise
Published on: January 26, 2024
Learning fine-grained and category information in navigable real-world space.
David H Uttal1, Alinda Friedman, Linda Liu Hand
1Department of Psychology, Northwestern University, 2029 Sheridan Road, Evanston, IL 60208-2710, USA. duttal@northwestern.edu
Spatial judgments rely on detailed and regional knowledge. This study shows both improve over time, but regional influences emerge later, biasing distance perception in navigable environments.
Area of Science:
- Cognitive Psychology
- Environmental Psychology
- Spatial Cognition
Background:
- Spatial judgments integrate fine-grained location details and broader categorical knowledge.
- Real-world navigation in complex environments shapes spatial representations.
- University campuses offer navigable spaces with distinct, yet often ambiguous, regional divisions.
Purpose of the Study:
- To investigate the learning process of fine-grained and categorical spatial knowledge in a real-world setting.
- To determine the time course for acquiring each type of spatial knowledge.
- To examine how the development of regional knowledge influences spatial judgments over time.
Main Methods:
- Participants (university students) estimated landmark locations on a large campus.
- Data collection occurred over students' time at the university, allowing for longitudinal analysis.
- Judgments were analyzed for accuracy in fine-grained configuration and regional influences.
Main Results:
- Both fine-grained spatial knowledge and regional understanding improved with increased time on campus.
- The influence of regional knowledge on spatial judgments became apparent later in students' tenure.
- Distance estimations across campus regions showed increasing bias over time.
Conclusions:
- Spatial knowledge acquisition in navigable environments is a gradual process involving both detailed and categorical learning.
- Regional influences on spatial judgments develop over time and can introduce systematic biases.
- Understanding these learning dynamics is crucial for comprehending spatial representation development.
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