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Understanding 2D cross-sections of 3D structures is a crucial skill in manydisciplines, from geology to medical imaging. Cross-section inference in thecontext of 3D structures requires a complex set of spatial/visualization skillsincluding mental rotation, spatial structure understanding, and viewpointprojection. Prior studies show that experts differ from novices in these, andother, skill dimensions. Building on a previously developed model thathierarchically characterizes the specific spatial sub-skills needed for thistask, we have developed the first domain-agnostic, computer-based training toolfor cross-section understanding of complex 3D structures. We demonstrate, in anevaluation with 60 participants, that this interactive tool is effective forincreasing cross-section inference skills for a variety of structures, fromsimple primitive ones to more complex biological structures.

Developing and Validating an Interactive Training Tool for Inferring 2D Cross-Sections of Complex 3D Structures