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Towards an Uncertainty-Aware Visualization in the Digital Humanities

Visual Analytics Group (VisUSAL), Department of Computer Science and Automation, University of Salamanca, 37008 Salamanca, Spain
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in TEEM’18, Salamanca, Spain, 24–26 October 2018.
Informatics 2019, 6(3), 31;
Received: 3 June 2019 / Revised: 26 July 2019 / Accepted: 2 August 2019 / Published: 10 August 2019
(This article belongs to the Collection Uncertainty in Digital Humanities)
As visualization becomes widespread in a broad range of cross-disciplinary academic domains, such as the digital humanities (DH), critical voices have been raised on the perils of neglecting the uncertain character of data in the visualization design process. Visualizations that, purposely or not, obscure or remove uncertainty in its different forms from the scholars’ vision may negatively affect the manner in which humanities scholars regard computational methods as useful tools in their daily work. In this paper, we address the issue of uncertainty representation in the context of the humanities from a theoretical perspective, in an attempt to provide the foundations of a framework that allows for the construction of ecological interface designs which are able to expose the computational power of the algorithms at play while, at the same time, respecting the particularities and needs of humanistic research. To this end, we review past uncertainty taxonomies in other domains typically related to the humanities and visualization, such as cartography and GIScience. From this review, we select an uncertainty taxonomy related to the humanities that we link to recent research in visualization for the DH. Finally, we bring a novel analytics method developed by other authors (Progressive Visual Analytics) into question, which we argue can be a good candidate to resolve the aforementioned difficulties in DH practice. View Full-Text
Keywords: progressive visual analytics; uncertainty taxonomies; digital humanities progressive visual analytics; uncertainty taxonomies; digital humanities
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MDPI and ACS Style

Therón Sánchez, R.; Benito Santos, A.; Santamaría Vicente, R.; Losada Gómez, A. Towards an Uncertainty-Aware Visualization in the Digital Humanities. Informatics 2019, 6, 31.

AMA Style

Therón Sánchez R, Benito Santos A, Santamaría Vicente R, Losada Gómez A. Towards an Uncertainty-Aware Visualization in the Digital Humanities. Informatics. 2019; 6(3):31.

Chicago/Turabian Style

Therón Sánchez, Roberto, Alejandro Benito Santos, Rodrigo Santamaría Vicente, and Antonio Losada Gómez. 2019. "Towards an Uncertainty-Aware Visualization in the Digital Humanities" Informatics 6, no. 3: 31.

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