论文标题
开发和验证一种交互式培训工具，用于推断复杂3D结构的2D横截面
Developing and Validating an Interactive Training Tool for Inferring 2D Cross-Sections of Complex 3D Structures
论文作者
论文摘要
了解3D结构的2D横截面是从地质到医学成像的许多学科中的重要技能。在3D结构的上下文中的横截面推断需要一组复杂的空间/可视化技能，包括心理旋转，空间结构理解和观点投影。先前的研究表明，专家与这些技能方面的新手不同。以先前开发的模型为基础，该模型在层次上表征了此任务所需的特定空间子技能，我们开发了第一个基于计算机的域，基于计算机的训练工具，用于横断面了解复杂的3D结构。我们在与60名参与者的评估中证明，这种交互式工具可有效提高各种结构的横截面推理技能，从简单的原始原始结构到更复杂的生物结构。
Understanding 2D cross-sections of 3D structures is a crucial skill in many disciplines, from geology to medical imaging. Cross-section inference in the context of 3D structures requires a complex set of spatial/visualization skills including mental rotation, spatial structure understanding, and viewpoint projection. Prior studies show that experts differ from novices in these, and other, skill dimensions. Building on a previously developed model that hierarchically characterizes the specific spatial sub-skills needed for this task, we have developed the first domain-agnostic, computer-based training tool for cross-section understanding of complex 3D structures. We demonstrate, in an evaluation with 60 participants, that this interactive tool is effective for increasing cross-section inference skills for a variety of structures, from simple primitive ones to more complex biological structures.
