Recognizing perspective accuracy: an intelligent user interface for assisting novices
Recognizing perspective accuracy: an intelligent user interface for assisting novices
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识别透视准确性：帮助新手的智能用户界面
DOI：
10.1145/3377325.3377511
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
T. Hammond
中科院分区：
文献类型：
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作者：
Blake Williford;Matthew Runyon;T. Hammond
透视素描对于艺术、工业设计、建筑和工程等专业学科来说是一项宝贵的技能。然而，对于新手来说，这往往是一项难以掌握的技能。我们已经开发了一种算法，可以对直线透视笔画进行分类，并在笔画的基础上对哪些笔画是准确的进行分类。我们还开发了一个智能用户界面，可以对用户的手绘数字透视草图提供实时精度反馈。为了评估该系统，我们对40名新手进行了一项受试者之间的用户研究，他们用两点视角绘制城市街角。我们发现，接受实时智能反馈的参与者在随后的无辅助草图中，他们的视角准确性显著提高（p < 0.0005），表明有轻微的学习效应和知识转移。通过定性反馈，我们还得出了智能实时反馈如何在学习角度上最好地帮助新手的原则。
Sketching in perspective is a valuable skill for art, and for professional disciplines like industrial design, architecture, and engineering. However, it tends to be a difficult skill to grasp for novices. We have developed an algorithm that can classify rectilinear perspective strokes, as well as classify which of those strokes are accurate on a stroke-by-stroke basis. We also developed an intelligent user interface which can provide real-time accuracy feedback on a user's free-hand digital perspective sketch. To evaluate the system, we conducted a between-subjects user study with 40 novice participants which involved sketching city street corners in 2-point perspective. We discovered that the participants who received real-time intelligent feedback improved their perspective accuracy significantly (p < 0.0005) in a subsequent unassisted sketch, suggesting a mild learning effect and knowledge transfer. Through qualitative feedback we also derived principles for how intelligent real-time feedback can best assist novices in learning perspective.