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Labeling of Cultural Heritage Collections on the Intersection of Visual Analytics and Digital Humanities

conferencePaper

DOI:10.1109/VIS4DH57440.2022.00009
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Authors: Meinecke Christofer

Extracted Abstract:

Engaging in interdisciplinary projects on the intersection between visualization and humanities research can be a challenging endeavor. Challenges can be finding valuable outcomes for both domains, or how to apply state-of-the-art visual analytics methods like super- vised machine learning algorithms. We discuss these challenges when working with cultural heritage data. Further, there is a gap in applying these methods to intangible heritage. To give a reflection on some interdisciplinary projects, we present three case studies fo- cusing on the labeling of cultural heritage collections, the problems and challenges with the data, the participatory design process, and takeaways for the visualization scholars from these collaborations. Keywords:Labeling, Cultural Heritage, Visualization in the Hu- manities, Participatory Design. Index Terms:Human-centered computing—Visualization—; Human-centered computing—Human computer interaction—; Ap- plied computing—Arts and humanities—; 1

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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