In recent years, various approaches to visualization have been adopted for decoding the significance implicit in data. Although the effectiveness of these approaches has been evaluated, scant attention has been paid to their efficiency. In this study, an interactive system was designed based on a two-component visualization system. In the proposed model, resource libraries were installed on a computer, and correlations were drawn between human libraries and user characteristics. An interactive visualization system can be used to create different visualization problems. For each problem, the input is a dataset, and the output is the information or knowledge gleaned by the user from the visual pattern representing the dataset. Each visualization problem may be solved using many methods and various visual patterns, with varying cognitive loads. The efficiency of a solution is evaluated by comparing the output worth with the cognition cost of the solution. In this article, a quantitative algorithm was proposed to evaluate the efficiency of a visualization solution to enable the user in determining the most efficient solution according to the purpose of the visualization.

中文翻译：

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一种评估可视化问题解决方案效率的方法

近年来，人们采用了各种可视化方法来解码数据中隐含的重要性。尽管已经评估了这些方法的有效性，但对其效率的关注却很少。在这项研究中，基于双组件可视化系统设计了一个交互式系统。在所提出的模型中，资源库安装在计算机上，并在人类库和用户特征之间绘制相关性。交互式可视化系统可用于创建不同的可视化问题。对于每个问题，输入是一个数据集，输出是用户从表示数据集的视觉模式中收集的信息或知识。每个可视化问题都可以使用多种方法和各种视觉模式来解决，具有不同的认知负荷。通过将输出价值与解决方案的认知成本进行比较来评估解决方案的效率。在本文中，提出了一种量化算法来评估可视化解决方案的效率，以使用户能够根据可视化的目的确定最有效的解决方案。