1 to 10 of 21 Results
Feb 28, 2024 - SFB-TRR 161 D05 "Visual computing for ERP-based brain activity"
Mikheev, Vladimir; Skukies, Rene; Ehinger, Benedikt, 2023, "Supplementary material: "The Art of Brainwaves: A Survey on Event-Related Potential Visualization Practices"", https://doi.org/10.18419/darus-3729, DaRUS, V2, UNF:6:+qePfVjlqif+DUSlAZSsrw== [fileUNF]
The purpose related to this dataset is to investigate the state of visualization in ERP (Event-Related Potential) research. The investigation was conducted through an online questionnaire administered via LimeSurvey Community Edition v5.4.7, hosted by the University of Stuttgart.... |
Feb 6, 2024 - SFB-TRR 161 D04 "Quantitative Aspects of Immersive Analytics for the Life Sciences"
Aichem, Michael; Klein, Karsten; Kobourov, Stephen; Schreiber, Falk, 2023, "Supplemental Materials for: "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations"", https://doi.org/10.18419/darus-3706, DaRUS, V2
This dataset contains the supplemental materials for our publication "De-emphasise, Aggregate, and Hide: A Study on Interactive Visual Transformations for Group Structures in Network Visualisations". The publication reports on an experiment that we conducted to explore the effect... |
Oct 6, 2023
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Aug 16, 2023 - SFB-TRR 161 B04 "Adaptive Algorithms for Motion Estimation"
Schmalfuss, Jenny; Mehl, Lukas; Bruhn, Andrés, 2023, "Distracting Downpour - Adversarial Weather Attacks for Motion Estimation (Replication Data)", https://doi.org/10.18419/darus-3677, DaRUS, V1
This dataset contains the generated weather configurations as png and npz files. |
Aug 4, 2023
This project aims at deepening the understanding of scale and complexity effects for data analysis in immersive environments. To this end, the scale and complexity space for immersive analytics will be characterised, and effects and limits of scale and complexity dimensions will... |
Aug 4, 2023
In this project, we will carry out behavioural experiments using human participants and base our empirical choices on the framework of optimal decision theory as derived from the Bayesian approach. This approach can be used as a tool to construct ideal observer models against whi... |
Aug 4, 2023
The goal of this project is to develop new algorithms that allow user-customised graph views and smooth transitions between different types of graph visualisations. |
Aug 4, 2023
Computational photography (CP) has in recent years emerged as a vibrant sub-field within visual computing and has brought forth highly creative techniques, expanding the notion of a camera beyond the traditional model. By combining novel optical designs with algorithmic technique... |
Aug 4, 2023
We plan to extend stress-minimisation approaches for general graph layout. Current algorithms fail on specific classes of input graphs, for instance because of scale, diameter, or skewed degree distributions. Moreover, characteristics of the output device and user interactions ar... |
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... |