EuroVisSTAR2022

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https://diglib.eg.org/handle/10.2312/2633200

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Browsing EuroVisSTAR2022 by Subject "Visualization"

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    Chart Question Answering: State of the Art and Future Directions
    (The Eurographics Association and John Wiley & Sons Ltd., 2022) Hoque, Enamul; Kavehzadeh, Parsa; Masry, Ahmed; Bruckner, Stefan; Turkay, Cagatay; Vrotsou, Katerina
    Information visualizations such as bar charts and line charts are very common for analyzing data and discovering critical insights. Often people analyze charts to answer questions that they have in mind. Answering such questions can be challenging as they often require a significant amount of perceptual and cognitive effort. Chart Question Answering (CQA) systems typically take a chart and a natural language question as input and automatically generate the answer to facilitate visual data analysis. Over the last few years, there has been a growing body of literature on the task of CQA. In this survey, we systematically review the current state-of-the-art research focusing on the problem of chart question answering. We provide a taxonomy by identifying several important dimensions of the problem domain including possible inputs and outputs of the task and discuss the advantages and limitations of proposed solutions. We then summarize various evaluation techniques used in the surveyed papers. Finally, we outline the open challenges and future research opportunities related to chart question answering.
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    Trends & Opportunities in Visualization for Physiology: A Multiscale Overview
    (The Eurographics Association and John Wiley & Sons Ltd., 2022) Garrison, Laura A.; Kolesar, Ivan; Viola, Ivan; Hauser, Helwig; Bruckner, Stefan; Bruckner, Stefan; Turkay, Cagatay; Vrotsou, Katerina
    Combining elements of biology, chemistry, physics, and medicine, the science of human physiology is complex and multifaceted. In this report, we offer a broad and multiscale perspective on key developments and challenges in visualization for physiology. Our literature search process combined standard methods with a state-of-the-art visual analysis search tool to identify surveys and representative individual approaches for physiology. Our resulting taxonomy sorts literature on two levels. The first level categorizes literature according to organizational complexity and ranges from molecule to organ. A second level identifies any of three high-level visualization tasks within a given work: exploration, analysis, and communication. The findings of this report may be used by visualization researchers to understand the overarching trends, challenges, and opportunities in visualization for physiology and to provide a foundation for discussion and future research directions in this area.