Demo Data from EDBT 2026 / reviewers in the wild / expert
Silke Schwandt
dblp:120/9722
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0001-8303-4668ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
immersive visualization |
0.7 | 1 | 2023 | Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual Reality · ISMAR 2023 |
Virtual and augmented reality
virtual reality |
0.2 | 1 | 2023 | Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual Reality · ISMAR 2023 |
Methods — techniques the papers use, named apart from their topics
user study · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Who Did What When? Discovering Complex Historical Interrelations in Immersive Virtual RealityabstractTraditional digital tools for exploring historical data mostly rely on conventional 2D visualizations, which often cannot reveal all relevant interrelationships between historical fragments (e.g., persons or events). In this paper, we present a novel interactive exploration tool for historical data in VR, which represents fragments as spheres in a 3D environment and arranges them around the user based on their temporal, geo, categorical and semantic similarity. Quantitative and qualitative results from a user study with 29 participants revealed that most participants considered the virtual space and the abstract fragment representation well-suited to explore historical data and to discover complex interrelationships. These results were particularly underlined by high usability scores in terms of attractiveness, stimulation, and novelty, while researching historical facts with our system did not impose unexpectedly high task loads. Additionally, the insights from our post-study interviews provided valuable suggestions for future developments to further expand the possibilities of our system. Melanie Derksen, Julia Becker, Mohammad Fazleh Elahi, Angelika Maier, Marius Maile, Ingo Oliver Pätzold, Jonas Penningroth, Bettina Reglin, Markus Rothgänger, Philipp Cimiano, Erich Schubert, Silke Schwandt, Torsten W. Kuhlen, Mario Botsch, Tim Weißker |
ISMAR | 12 |