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Learning Fine-Grained and Category Information 1 Running head: Learning Fine-Grained and Category Information Learning Fine-Grained and Category Information in Navigable Real-World Space
BibTeX
@MISC{Uttal_learningfine-grained,
author = {David H. Uttal and Alinda Friedman and Linda Liu H and Christopher Warren},
title = {Learning Fine-Grained and Category Information 1 Running head: Learning Fine-Grained and Category Information Learning Fine-Grained and Category Information in Navigable Real-World Space},
year = {}
}
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Abstract
Spatial judgments are affected both by fine-grained and categorical knowledge. We investigated whether, and how, the two forms of knowledge are learned in real-world, navigable space as well as the time course of learning each type of knowledge. Participants were Northwestern University undergraduates who estimated the locations of buildings and other landmarks on campus. The Northwestern campus is roughly divided into three regions whose borders are not easy to discern either from a map or by navigation. Nevertheless, students often refer to these regions linguistically and use them when making housing decisions, choosing classes, etc. We found that knowledge of both the fine-grained configuration of locations and the regional distinctions increased with time. However, regional influences on judgments occurred later in students ’ time on campus. Consequently, computed distances across the nonexistent border between north and south campus locations became more biased with time. The results have implications for understanding how spatial representations develop in navigable environments.
Keyphrases
category information navigable real-world space category information learning fine-grained time course northwestern campus spatial representation student time fine-grained configuration nonexistent border categorical knowledge south campus location regional distinction housing decision navigable space spatial judgment navigable environment regional influence northwestern university undergraduate
