ABSTRACT Design space exploration (DSE) describes the systematic activity of discovery and evaluation of the elements in a design space in order to identify optimal solutions by reducing the design space to an area of performance. Designers sample thousands of design points iteratively, explore the design space, gain knowledge about the problem and make design decision. The literature tells us that DSE results in a decision of quality called informed decision, which is supported by information visualisation. The representation of design points is seen as primordial to gain an understanding of the problem and make an informed decision. In our work, we have sought to identify what type of graph is best suited to the discovery phase, and enables designers to make an informed decision. We designed a web platform with four design problems, and carried out an experiment with 42 participants. We found a graph that was better suited to making a decision of quality and to gaining greater understanding: the scatter plot matrix.

中文翻译：

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信息可视化，通过购物实现高效的知识发现和明智的设计决策

摘要 设计空间探索 (DSE) 描述了发现和评估设计空间中的元素的系统活动，以便通过将设计空间缩小到性能区域来确定最佳解决方案。设计师迭代地对数千个设计点进行采样，探索设计空间，获得有关问题的知识并做出设计决策。文献告诉我们，DSE 导致了一种称为知情决策的质量决策，它得到了信息可视化的支持。设计点的表示被视为获得对问题的理解和做出明智决策的基础。在我们的工作中，我们试图确定哪种类型的图最适合发现阶段，并使设计人员能够做出明智的决定。我们设计了一个有四个设计问题的网络平台，并进行了一项有 42 名参与者的实验。我们发现了一个更适合做出质量决策和获得更深入理解的图表：散点图矩阵。