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Communicating Uncertainty in Digital Humanities Visualization Research

Panagiotidou, Georgia; Lamqaddam, Houda; Poblome, Jeroen; Brosens, Koenraad; Verbert, Katrien; Moere, Andrew Vande; (2022) Communicating Uncertainty in Digital Humanities Visualization Research. IEEE Transactions on Visualization and Computer Graphics 10.1109/tvcg.2022.3209436. (In press). Green open access

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Abstract

Due to their historical nature, humanistic data encompass multiple sources of uncertainty. While humanists are accustomed to handling such uncertainty with their established methods, they are cautious of visualizations that appear overly objective and fail to communicate this uncertainty. To design more trustworthy visualizations for humanistic research, therefore, a deeper understanding of its relation to uncertainty is needed. We systematically reviewed 126 publications from digital humanities literature that use visualization as part of their research process, and examined how uncertainty was handled and represented in their visualizations. Crossing these dimensions with the visualization type and use, we identified that uncertainty originated from multiple steps in the research process from the source artifacts to their datafication. We also noted how besides known uncertainty coping strategies, such as excluding data and evaluating its effects, humanists also embraced uncertainty as a separate dimension important to retain. By mapping how the visualizations encoded uncertainty, we identified four approaches that varied in terms of explicitness and customization. This work contributes with two empirical taxonomies of uncertainty and it's corresponding coping strategies, as well as with the foundation of a research agenda for uncertainty visualization in the digital humanities. Our findings further the synergy among humanists and visualization researchers, and ultimately contribute to the development of more trustworthy, uncertainty-aware visualizations.

Type: Article
Title: Communicating Uncertainty in Digital Humanities Visualization Research
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/tvcg.2022.3209436
Publisher version: https://doi.org/10.1109/tvcg.2022.3209436
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Data visualization, Uncertainty, Humanities, Taxonomy,Task analysis, Data analysis, Visualization
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10157203
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