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CogSketch: Sketch Understanding for Cognitive Science Research and for Education
Author(s) -
Forbus Kenneth,
Usher Jeffrey,
Lovett Andrew,
Lockwood Kate,
Wetzel Jon
Publication year - 2011
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/j.1756-8765.2011.01149.x
Subject(s) - sketch , computer science , spatial intelligence , visual reasoning , cognition , cognitive science , sketch recognition , domain (mathematical analysis) , spatial cognition , software , data science , artificial intelligence , human–computer interaction , psychology , gesture , mathematics , gesture recognition , mathematical analysis , algorithm , neuroscience , programming language
Sketching is a powerful means of working out and communicating ideas. Sketch understanding involves a combination of visual, spatial, and conceptual knowledge and reasoning, which makes it both challenging to model and potentially illuminating for cognitive science. This paper describes CogSketch, an ongoing effort of the NSF‐funded Spatial Intelligence and Learning Center, which is being developed both as a research instrument for cognitive science and as a platform for sketch‐based educational software. We describe the idea of open‐domain sketch understanding , the scientific hypotheses underlying CogSketch, and provide an overview of the models it employs, illustrated by simulation studies and ongoing experiments in creating sketch‐based educational software.