Effects of Representation on Solving Complex Spatial-Temporal Problems

Human data are used to study how people solve complex problems that have spatial and temporal components. Major findings include the use of task-focused representations, unexpectedly tight coupling of representation and search, time and space conflation, and use of multiple concurrent representations. The major contributions of this work include a set of abstract representations that strongly support spatial-temporal reasoning.

Authors

• Baylor Wetzel University of Minnesota

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