An algorithmic approach to detect generalization in sketch maps from sketch map alignment.

ABSTRACT: Sketch maps are valuable tools used across various disciplines including spatial cognition, environmental psychology, and spatial reasoning. A common approach to evaluate sketch maps in research is to align and compare them with metric maps. However, sketch maps are highly abstract and contain generalized information causing difficulty in their alignment. Current approaches to study sketch maps cannot handle generalized information. They require a one-on-one correspondence between features in the metric map and features in the sketch map. But memory is often generalized. This paper makes two contributions to the research on sketch maps: (i) we present an algorithmic approach to detect generalization in sketch maps (ii) we present an online tool that creates a generalized metric map corresp

SUBMITTER: Manivannan C 

PROVIDER: S-EPMC11206956 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature