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31 to 40 of 82 Results
SFB-TRR 161 C02 "Physiologically Based Interaction and Adaptive Visualization" logo
Aug 4, 2023
In this project, we research new methods and techniques for cognition-aware visualisations. The basic idea is that a cognition-aware adaptive visualisation will observe the physiological response of a person while interacting with a system und use this implicit input. Electrical signals measured on the body (e.g. EEG, EMG, ECG, galvanic skin respon...
SFB-TRR 161 C03 "Immersive Virtual Environments"(Max Planck Institute for Biological Cybernetics)
SFB-TRR 161 C03 "Immersive Virtual Environments" logo
Aug 4, 2023
Immersive virtual environments (IVEs) simulate real-world scenarios for purposes ranging from entertainment to safety-critical training (e.g., surgery, driving or flying). This project investigates how computationally demanding IVEs can be optimised to ensure realistic user performance, by focusing on how users seek out and process information for...
SFB-TRR 161 C04 "Metrics for Mobile Visualization and Interaction Techniques through 'Research in the Large'" logo
Aug 4, 2023
Models and metrics of visualisation and interaction techniques can predict the time a person needs to understand presented information and to execute a task. Previous work mainly focused on basic models. What is missing are models and metrics for realistic use cases and novel interactive systems. We will upscale the quantitative investigations of v...
SFB-TRR 161 D01 "Perception-Guided Adaptive Modeling of 3D Virtual Cities Based on Probabilistic Grammars" logo
Aug 4, 2023
The goal of the project is to create quantitative methods for the perception-aware representation of 3D virtual cities. We will develop a grammar-based system for the effective visual communication of building-related information via geometric 3D building representations that induce a defined degree of perceptual insight in the observer’s mind. The...
SFB-TRR 161 C07 "Optimization for Dynamic Mixed Reality User Interfaces" logo
Aug 4, 2023
In this project we aim to dynamically adapt the user interface during interaction with Cross-Reality (XR) applications through head-mounted displays (HMDs), to improve usability and ensure the users safety and comfort.
SFB-TRR 161 D02 "Evaluation Metrics for Visual Analytics in Linguistics" logo
Aug 4, 2023
Within linguistics, the use of large sets of data via a combination of rule-based and stochastic methods is now standardly part of the analysis of language structure. However, though scatter plots, bar or pie charts, and trees as provided by R, for example, are standardly used, novel visual computation techniques have only just begun to be explored...
SFB-TRR 161 D03 "Visual Exploration and Analysis of Provenance Data" logo
Aug 4, 2023
To analyse or debug complex data processing applications, or to ensure their understandability and repeatability, provenance techniques are increasingly being deployed, resulting in large volumes and a wide variety of provenance data. The long-term goal of this project is to leverage visualisation techniques to efficiently and effectively explore p...
Aug 1, 2023 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Feyer, Stefan Paul; Pinaud, Bruno; Kobourov, Stephen; Brich, Nicolas; Krone, Michael; Kerren, Andreas; Schreiber, Falk; Klein, Karsten, 2023, "Supplemental Material: "2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualizations in Virtual Reality"", https://doi.org/10.18419/DARUS-3387, DaRUS, V1, UNF:6:PSjD1vZ/FkCWAinPKFoFOg== [fileUNF]
Dataset containing supplemental material for the publication "2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualizations in Virtual Reality" This dataset contains: 1) archive containing all raw quantitative results, 2) archive containing all raw qualitative data, 3) archive containing the graphs used for the experiment (.graphml fil...
Jul 17, 2023 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation"
Mehl, Lukas; Schmalfuss, Jenny; Jahedi, Azin; Nalivayko, Yaroslava; Bruhn, Andrés, 2023, "Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo", https://doi.org/10.18419/DARUS-3376, DaRUS, V2
The Spring dataset contains files for scene flow, optical flow and stereo estimation. For easier handling, we organized them into sub-directories: train split: train_frame_left.zip: left camera frames train_frame_right.zip: right camera frames train_disp1_left.zip: left-to-right disparity in the reference frame train_disp1_right.zip: right-to-left...
Jun 26, 2023 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"
Wang, Yao, 2023, "Data for: "Scanpath Prediction on Information Visualizations"", https://doi.org/10.18419/DARUS-3361, DaRUS, V2, UNF:6:cqkNueYjBVCLYaXEqJq3yw== [fileUNF]
We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information visualisations. Although scanpaths provide rich information about the importance of different visualisation elements during the visual exploration process, prior work has b...
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