1 to 10 of 59 Results
Aug 25, 2026 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Feyer, Stefan Paul, 2025, "Source Code and Video: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks", https://doi.org/10.18419/DARUS-5503, DaRUS, V2
This Data contains the Unity Program, especially written for the experiment published in the paper: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks. It contains a network from an open-access dataset, which can be viewed under the study conditions. Furthermore, a video displays in first person the view through a VR HMD on th... |
Jul 30, 2026 - Associated Research
Jenadeleh, Mohsen; Sneyers, Jon; Ascenso, João, 2026, "JPEG AIC2026: Fine-grained image compression dataset", https://doi.org/10.18419/DARUS-6156, DaRUS, V2, UNF:6:XijMAc83sLBGJd3690d0/g== [fileUNF]
Recent advances in conventional and learning-based image coding have increased the demand for benchmark datasets that support fine-grained assessment of compressed image quality, particularly for learning-based image compression methods. The data in this dataset represent Assessment of Image Coding 2026 (AIC2026), a large-scale dataset for high-fid... |
Jun 29, 2026 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Zhang, Lin; Zhang, Ying; Huettner, Timo; Kerle-Malcharek, Wilhelm; Klein, Karsten; Schreiber, Falk; Bulling, Andreas, 2026, "Replication Data for: Understanding and Enhancing Stereoscopic 3D Graph Perception with Eye Tracking", https://doi.org/10.18419/DARUS-5950, DaRUS, V1
Immersive Analytics (IA) utilises stereoscopic 3D (S3D) graph visualisations in Virtual and Augmented Reality to harness spatial understanding and engagement beyond 2D screen displays. Despite growing research interest, little is known about how users perceive such structures, or how their gaze behaviour relates to task performance. We address this... |
Feb 27, 2026 - Visualisierungsinstitut der Universität Stuttgart
Vriend, Sita; Hägele, David; Weiskopf, Daniel, 2025, "Supplemental materials for "Two Empirical Studies on Audiovisual Semiotics of Uncertainty"", https://doi.org/10.18419/DARUS-4137, DaRUS, V2, UNF:6:Zv5hIuIcj79NjLNQkI3uBw== [fileUNF]
We explored the potential of audiovisual semiotics, the use of audiovisual channels, to enhance users' intuitive perception of uncertainty by conducting two user studies. In the first experiment we assessed the intuitiveness of audio/visual pairs. In the second experiment, we investigated the intuitive audiovisual mappings of uncertainty. These sup... |
Feb 25, 2026 - SFB-TRR 161 INF "Collaboration Infrastructure"
Garkov, Dimitar; Piselli, Tommaso; Di Giacomo, Emilio; Klein, Karsten; Liotta, Giuseppe; Montecchiani, Fabrizio; Schreiber, Falk, 2024, "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data", https://doi.org/10.18419/DARUS-4231, DaRUS, V3
This dataset contains the supplementary materials to our publication "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis", where we report on a study we conducted. Please refer to publication for more details, also the abstract can be found at the end of this description. The dataset contains: The collection of graphs... |
Feb 20, 2026 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Dennig, Frederik L.; Keim, Daniel, 2026, "Replication Data for: "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy"", https://doi.org/10.18419/DARUS-5258, DaRUS, V1
This is the replication data for our paper "DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy", allowing additional analysis and experiments. The files, per file, below. It includes the experiment data and source code. For details on the usage, please refer to the README.md... |
Nov 17, 2025 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Bulling, Andreas, 2024, "SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)", https://doi.org/10.18419/DARUS-3884, DaRUS, V3
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced dataset that uses the BubbleView interface as a proxy for human gaze and a q... |
Sep 3, 2025 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao; Zhang, Lin; Zhang, Ying; Kerle-Malcharek, Wilhelm; Klein, Karsten; Schreiber, Falk; Bulling, Andreas, 2025, "Replication Data for: Towards a Better Understanding of Graph Perception in Immersive Environments", https://doi.org/10.18419/DARUS-5259, DaRUS, V1
As Immersive Analytics (IA) increasingly uses Virtual Reality (VR) for stereoscopic 3D (S3D) graph visualisation, it is crucial to understand how users perceive network structures in these immersive environments. However, little is known about how humans read S3D graphs during task solving, and how gaze behaviour indicates task performance. To addr... |
Aug 5, 2025 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Joos, Lucas; Mooney, Gavin James; Fischer, Maximilian; Keim, Daniel; Schreiber, Falk; Purchase, Helen; Klein, Karsten, 2025, "Replication Data for: "Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings"", https://doi.org/10.18419/DARUS-5108, DaRUS, V1
We provide the supplemental material for our paper 'Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings', allowing additional analysis and replication. The files and collections are described in 'README.txt'. |
Jun 11, 2025 - SFB-TRR 161 INF "Collaboration Infrastructure"
Garkov, Dimitar; Lein, Etienne; Kielkopf, Niklas; Dullin, Christian; Klein, Karsten; Sommer, Bjorn; Jordan, Alex; Schreiber, Falk, 2025, "Software and Data for: Interactive delineation and quantification of anatomical structure with virtual reality", https://doi.org/10.18419/DARUS-4779, DaRUS, V1
This dataset contains the supplemental materials, the used tools, and the release of the software presented in the paper Interactive delineation and quantification of anatomical structure with virtual reality. The dataset is structured in the typical order of data processing: Imaging Tomographic Reconstruction Brainacle Software (Delineation, Quant... |
