Affective Palettes for Scientific Visualization: Grounding Environmental Data in the Natural World

Samsel, Francesca; Abram, G. L.; Zeller, Stephanie; Keefe, Daniel F.

doi:10.1109/visap52981.2021.00009

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Specifically, we considered a paper qualified if: (i) it is about data visualization, and (ii) it explicitly mentions emotion or emotion-related words (e.g., surprise, joy) in its keywords, title, abstract, or major findings. As a result, we identified 24 qualified papers [5,7,9,20,26,27,37,44,45,47,48,50,51,53,57,58,62,65,[70][71][72][73][74]94].…”

Section: Methodsmentioning

confidence: 99%

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Kineticharts: Augmenting Affective Expressiveness of Charts in Data Stories with Animation Design

Lan

Shi

et al. 2022

IEEE Trans. Visual. Comput. Graphics

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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.

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Section: Methodsmentioning

confidence: 99%

“…For example, Samsel et al [74] designed a color tool for creating affective scientific visualization. Lan et al [47] investigated how visualization design facilitates the communication of negative emotions in serious data stories.…”

Section: Methodsmentioning

confidence: 99%