31 to 40 of 3,711 Results
ZIP Archive - 22.0 MB -
MD5: 87a5dbba03be2d0f7f88a5eb0edc6047
The source code of our approach. It trains neural networks and logs the results. |
Dec 4, 2025 -
Source Code and Video: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks
Plain Text - 886 B -
MD5: 3465133fc65c4d79bf43d86c39182660
Text file with explanation on how to run the program. |
Dec 4, 2025 -
Source Code and Video: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks
MPEG-4 Video - 512.1 MB -
MD5: 06b7ac25d004faf0175419304b3faebf
Video showing an example dataset under study conditions. |
Dec 4, 2025 -
Source Code and Video: 2D versus 2.5D Layer Arrangement for Animal Behaviour Multiplex Networks
ZIP Archive - 1.0 GB -
MD5: 1cced9387fbde987aa45932d9d167ee7
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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... |
Nov 17, 2025 -
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)
ZIP Archive - 627.9 MB -
MD5: 452ca568bce7b8e9f341e6e31a8c2acf
The SalChartQA dataset, containing fixationByVis, image_questions.json, raw_img, saliency_all, saliency_ans and unified_approved.csv |
Oct 6, 2025 -
Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data
ZIP Archive - 49.2 MB -
MD5: 59f0d86abab8398468a0d7c614e85a0f
Please note the ReadME file in the ZIP |
Oct 6, 2025 -
Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data
ZIP Archive - 80.1 KB -
MD5: 24a64a985653603a0fac46cd3b21be44
Accuracy, completion time, weighted NASA TLX ratings, demographics and prior experience, and task instance complexity data |
Oct 6, 2025 -
Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data
ZIP Archive - 6.1 MB -
MD5: 8725dc23d47682a365dbd4c98a03d494
Documents used in the study procedure, in English, Italian, and German language. |
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... |
