21 to 30 of 82 Results
Feb 6, 2024 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel; Weiskopf, Daniel, 2024, "Comparative Evaluation of Animated Scatter Plot Transitions - Supplemental Material", https://doi.org/10.18419/DARUS-3451, DaRUS, V1
We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material. Contents: Tables that did not fit into the original paper, due to page limits. An anonymized print-out of the preregistration. The original preregi... |
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 effects of different interactive visual transformations in network drawings... |
Jan 26, 2024 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Dennig, Frederik L.; Joos, Lucas; Paetzold, Patrick; Blumberg, Daniela; Deussen, Oliver; Keim, Daniel; Fischer, Maximilian T., 2024, "The Categorical Data Map - Replication Data", https://doi.org/10.18419/DARUS-3372, DaRUS, V1, UNF:6:4NrkBxJKpeeQqsRmi8XRPw== [fileUNF]
Source code and datasets used for our experiments are shared for replication purposes along our publication "The Categorical Data Map". We describe each of the six datasets individually on a per-file basis. All datasets are purely nominal datasets. |
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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. |
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 be quantified. In a combination of methodological work and user studie... |
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 which human performance can be compared. |
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. |
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 techniques for image reconstruction, CP techniques provide advantages such as h... |
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 are generally ignored. Adaptive algorithms shall be developed from quant... |
