Eurographics Digital Library

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Recent Submissions

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Integrating Sonification and Visualization - But Why?
(The Eurographics Association, 2024) Rind, Alexander; Enge, Kajetan; Iber, Michael; Rönnberg, Niklas; Lenzi, Sara; Elmquist, Elias; Caiola, Valentina; Lan, Fangfei; Höldrich, Robert; Aigner, Wolfgang; Schultz, Hans-Jörg; Isenberg, Tobias
The research communities studying visualization and sonification share exceptionally similar goals, essentially aiming to make data interpretable to humans. One community uses visual representations, while the other employs auditory (nonspeech) representations of data. Although the two communities have much in common, they developed mostly in parallel, with only comparatively few examples of integrated audiovisual data analysis idioms presented so far. This panel brings together researchers from both the fields of visualization and sonification to collectively discuss the question: 'Integrating Sonification and Visualization - but why?' In the panel discussion, we will tackle this question along two main hypotheses: Combining the modalities to (1) increase the ''bandwidth from data to brain,'' or (2) to increase a user's personal engagement during the data analysis process. On the one hand, designers might aim to communicate more data in less time or gain more and more complex insights from the data by using a multi-modal display. This argument follows an understanding that two senses should be capable of processing more information than ''just'' one. On the other hand, sometimes, a more engaged analysis of the represented data is desirable. Engagement with data visualization stands as a crucial topic in numerous contexts within our field, encouraging ''deeper'' thinking by expert analysts, readers of data journalism articles, and students in educational settings. We hypothesize that integrating visualization with sonification holds the potential to enhance user engagement during analysis. Through the panel discussion, we want to delve into the spectrum between aiming for bandwidth and engagement, seeking to understand the opportunities and challenges of integrating sonification and visualization.
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EuroVis 2024 Panels and Tutorials: Frontmatter
(The Eurographics Association, 2024) Schultz, Hans-Jörg; Isenberg, Tobias; Schultz, Hans-Jörg; Isenberg, Tobias
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Comparative Analysis of Timeline-based Visualizations for Dynamic Overlapping Sets
(The Eurographics Association, 2024) Pron, Mariana; Agarwal, Shivam; Poddar, Madhav; Beck, Fabian; Tominski, Christian; Waldner, Manuela; Wang, Bei
Timeline-based set visualizations provide an overview of how overlapping categorical data evolves. We study three different visualization techniques of such type and made minor modifications to visualize the same data in a two-fold comparison. First, we contrast their encodings and interactions through a conceptual analysis. Second, in a user study with 28 participants, we evaluate their performance regarding different analysis tasks for dynamic sets and record user feedback along various dimensions.
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Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes
(The Eurographics Association, 2024) Tseng, Chin; Wang, Arran Zeyu; Quadri, Ghulam Jilani; Szafir, Danielle Albers; Tominski, Christian; Waldner, Manuela; Wang, Bei
Existing guidelines for categorical color selection are heuristic, often grounded in intuition rather than empirical studies of readers' abilities. While design conventions recommend palettes maximize hue differences, more recent exploratory findings indicate other factors, such as lightness, may play a role in effective categorical palette design. We conducted a crowdsourced experiment on mean value judgments in multi-class scatterplots using five color palette families-single-hue sequential, multihue sequential, perceptually-uniform multi-hue sequential, diverging, and multi-hue categorical-that differ in how they manipulate hue and lightness. Participants estimated relative mean positions in scatterplots containing 2 to 10 categories using 20 colormaps. Our results confirm heuristic guidance that hue-based categorical palettes are most effective. However, they also provide additional evidence that scalable categorical encoding relies on more than hue variance.
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Mixing Modes: Active and Passive Integration of Speech, Text, and Visualization for Communicating Data Uncertainty
(The Eurographics Association, 2024) Stokes, Chase; Sanker, Chelsea; Cogley, Bridget; Setlur, Vidya; Tominski, Christian; Waldner, Manuela; Wang, Bei
Interpreting uncertain data can be difficult, particularly if the data presentation is complex. We investigate the efficacy of different modalities for representing data and how to combine the strengths of each modality to facilitate the communication of data uncertainty. We implemented two multimodal prototypes to explore the design space of integrating speech, text, and visualization elements. A preliminary evaluation with 20 participants from academic and industry communities demonstrates that there exists no one-size-fits-all approach for uncertainty communication strategies; rather, the effectiveness of conveying uncertain data is intertwined with user preferences and situational context, necessitating a more refined, multimodal strategy for future interface design. Materials for this paper can be found on OSF.