cultural heritage

M. Passecker, Miksch, S., Proksa, F., and Aigner, W., “The past is all around you: Augmenting cultural heritage on-site”, in 27th EG Conference on Visualization (EuroVis 2025 ), 2025, p. 3.
M. Passecker, de Jesus Oliveira, V. A., Buono, P., Miksch, S., and Aigner, W., “Reconnecting Artifacts and Place: A Review of Situated Visualization in Cultural Heritage”, in 9th Workshop on Visualization for the Digital Humanities (VIS4DH 2025), 2025, pp. 7-13.
W. Aigner et al., “Visual Heritage: Visual Analytics and Computer Vision Meet Cultural Heritage (doc.funds.connect)”, in 18. Forschungsforum Der Österreichischen Fachhochschulen, 2025, pp. 558-559.
Advisor
Abstract

Museums and institutions that house cultural collections are increasingly interested in making their cultural heritage data publicly accessible. They often provide web-based interfaces, allowing users to search their cultural heritage data. Unfortunately, in many cases, these interfaces require domain knowledge about the data to use the collections effectively. This makes browsing through these digital collections unattractive for casual users. Appropriate Information Visualizations can solve this issue and make complex data understandable and accessible to non-experts. Surprisingly, visualizations are rarely used for supporting the accessibility of digital cultural heritage data collections, despite their effectiveness. In this thesis, I first review the current state of the art of visualizations for digital cultural heritage collections and the effectiveness of Information Visualization in this context. Subsequently, I propose an interactive web-based interface for exploring cultural heritage data through Information Visualizations, focusing on spatial data and multiple coordinated views. I present a prototypical implementation of this interface, a history map for images depicting scenes in Vienna between 1147 and 1995, owned by the Austrian National Library. The prototype uses existing image metadata, approximated geolocation, historical maps, and various visualization techniques to showcase the collection of images interactively. To assess the data’s accessibility based on this tool, I conducted a qualitative user study. My results indicate that visualizations can help with user engagement and can increase accessibility and understandability of the provided cultural heritage data.

Year of Publication
2020
Secondary Title
Institute of Visual Computing and Human-Centered Technology
Paper
Number of Pages
126
reposiTUm Handle
20.500.12708/15623
Publisher
TU Wien
Place Published
Vienna
DOI
10.34726/hss.2020.41402
M. Fischer, “Visualization of cultural heritage collection data”, Institute of Visual Computing and Human-Centered Technology. TU Wien, Vienna, p. 126, 2020.
Master Thesis
AC15753159