开发和验证用于推断复杂三维结构的二维横截面的交互式训练工具
Developing and Validating an Interactive Training Tool for Inferring 2D Cross-Sections of Complex 3D Structures
摘要：
理解3D结构的2D横截面是从地质学到医学成像等许多学科的关键技能。在3D结构的背景下进行横截面推理需要一套复杂的空间/可视化技能，包括心理旋转，空间结构理解和视点投影。先前的研究表明，专家在这些和其他技能方面与新手不同。基于先前开发的模型，该模型分层表征了此任务所需的特定空间子技能，我们开发了第一个域不可知的，基于计算机的培训工具，用于复杂3D结构的横截面理解。我们证明，在与60名参与者的评估，这种交互式工具是有效的增加横截面推理技能的各种结构，从简单的原始的更复杂的生物结构。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
