21 to 30 of 3,711 Results
Jun 29, 2026 -
Replication Data for: Understanding and Enhancing Stereoscopic 3D Graph Perception with Eye Tracking
ZIP Archive - 84.7 MB -
MD5: a7374a447e25a0dc642d2392348f503a
task answers for the Study 3 on gaze-enhanced graph |
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 27, 2026 -
Supplemental materials for "Two Empirical Studies on Audiovisual Semiotics of Uncertainty"
Adobe PDF - 566.7 KB -
MD5: 139f49f55c4900bb80c2bebafe2ca240
|
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 25, 2026 -
Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data
ZIP Archive - 37.3 KB -
MD5: 2ea9544e139326daf5cf5756f2a1aa9d
License: GPL-3.0; Language: R. |
Feb 25, 2026 -
Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data
Adobe PDF - 4.5 MB -
MD5: a40876b9cb9eb67f3f9357ae7422b44d
|
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... |
Compressed Archive - 2.2 GB -
MD5: 66da0557ed92a25f06d148d95ea87a2a
All the trained models from the experiments. All models can be loaded using the functionality provided by our program available in source-code.zip. The file names indicate the model type and parameters. |
Compressed Archive - 24.0 MB -
MD5: 598dfe09e99ada611261ad6d51dafb81
This includes all pre-processed datasets from our experiments, including projected datasets, CSV files, and serialised NumPy arrays. |
Compressed Archive - 828.9 KB -
MD5: 8ebc1835aae7854c3973a3a5b05dc7db
All records gathered during training are included, such as training and validation loss, as well as the individual loss components. |
