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Visual analytics for complex concepts using a human cognition model

机译:使用人类认知模型的复杂概念的视觉分析

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As the information being visualized and the process of understanding that information both become increasingly complex, it is necessary to develop new visualization approaches that facilitate the flow of human reasoning. In this paper, we endeavor to push visualization design a step beyond current user models by discussing a modeling framework of human “higher cognition.” Based on this cognition model, we present design guidelines for the development of visual interfaces designed to maximize the complementary cognitive strengths of both human and computer. Some of these principles are already being reflected in the better visual analytics designs, while others have not yet been applied or fully applied. But none of the guidelines have explained the deeper rationale that the model provides. Lastly, we discuss and assess these visual analytics guidelines through the evaluation of several visualization examples.
机译:作为可视化的信息和理解信息既越来越复杂的理解过程,有必要开发促进人工推理流动的新可视化方法。在本文中,我们通过讨论人类“较高认知的建模框架,推动可视化设计超越当前用户模型的步骤。基于这一认知模型,我们提出了用于开发视觉界面的设计指南,旨在最大限度地提高人员和计算机的互补认知优势。这些原则中的一些已经反映在更好的视觉分析设计中,而其他原则则尚未应用或完全应用。但没有任何指导方针解释了模型提供的更深层面的理由。最后,我们通过评估多个可视化例子来讨论和评估这些视觉分析指南。

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