In recent years, more and more researchers have reflected on the undervaluation of emotion in data visualization and highlighted the importance of considering human emotion in visualization design. Meanwhile, an increasing number of studies have been conducted to explore emotion-related factors. However, so far, this research area is still in its early stages and faces a set of challenges, such as the unclear definition of key concepts, the insufficient justification of why emotion is important in visualization design, and the lack of characterization of the design space of affective visualization design. To address these challenges, first, we conducted a literature review and identified three research lines that examined both emotion and data visualization. We clarified the differences between these research lines and kept 109 papers that studied or discussed how data visualization communicates and influences emotion. Then, we coded the 109 papers in terms of how they justified the legitimacy of considering emotion in visualization design (i.e., why emotion is important) and identified five argumentative perspectives. Based on these papers, we also identified 61 projects that practiced affective visualization design. We coded these design projects in three dimensions, including design fields (where), design tasks (what), and design methods (how), to explore the design space of affective visualization design.

翻译：近年来，越来越多的研究者反思了数据可视化中对情感的忽视，并强调了在可视化设计中考虑人类情感的重要性。与此同时，围绕情感相关因素的探索研究也日益增多。然而，迄今为止，该研究领域仍处于早期阶段，面临一系列挑战，例如关键概念定义不明确、情感在可视化设计中重要性的论证不充分，以及缺乏对情感化可视化设计空间的特征描述。为应对这些挑战，我们首先进行了文献综述，识别出三条同时涉及情感与数据可视化的研究方向。我们厘清了这些研究方向的差异，并筛选出109篇探讨或论述数据可视化如何传达和影响情感的论文。随后，我们从这些论文如何论证在可视化设计中考虑情感的合法性（即情感为何重要）这一维度进行编码，识别出五种论证视角。基于这些论文，我们还识别了61个实践情感化可视化设计的项目。我们从设计领域（在哪里）、设计任务（做什么）和设计方法（如何做）三个维度对这些设计项目进行编码，以探索情感化可视化设计的设计空间。