降低视觉编程的认知要求

M. Yazdani, L. Ford
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引用次数: 6

摘要

作者评估了一个新的通用可视化编程系统PrologSpace。该系统解决了视觉界面的经典问题:布局、形状、颜色和图像;以及那些与视觉编程特别相关的问题:多视图(视觉抽象)、同步视图、视觉和文本维度的集成、视觉调试、认知维度和规模问题。他们描述系统并检查其认知维度。他们认为:(1)PrologSpace增强了Prolog编程;(2)PrologSpace比其他两个著名的通用可视化编程系统具有更好的“黏性”、“可见性”和“二级符号”,并且在其他方面没有任何显著的维数损失。
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Reducing the cognitive requirements of visual programming
The authors evaluate a new general-purpose visual programming system, PrologSpace. The system addresses classic issues of visual interfaces: layout, shape, colour, and iconography; and those of particular concern to visual programming: multiple views (visual abstractions), synchronised views, integration of visual and textual dimensions, visual debugging, cognitive dimensions, and the problems of scale. They describe the system and examine its cognitive dimensions. They argue that: (1) PrologSpace enhances Prolog programming, and (2) PrologSpace has better 'viscosity', 'visibility', and 'secondary notation' than two other notable general visual programming systems and without any significant loss of dimensionality in other respects.
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