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Comparative Analysis with Heightmaps in Virtual Reality Environments
(The Eurographics Association, 2019)
3D heightmaps can be considered as an extension of heatmaps using the third dimension to encode the respective value by height, often in addition to encoding it by color. In contrast to 2D heatmaps, 3D heightmaps allow a ...
SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations
(The Eurographics Association, 2020)
Compact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. ...
Moving Together: Towards a Formalization of Collective Movement
(The Eurographics Association, 2019)
While conventional applications for spatiotemporal datasets mostly focus on the relation between movers and environment, research questions in the analysis of collective movement typically focus more on relationships and ...
Visual Analytics of Conversational Dynamics
(The Eurographics Association, 2019)
Large-scale interaction networks of human communication are often modeled as complex graph structures, obscuring temporal patterns within individual conversations. To facilitate the understanding of such conversational ...
ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods
(The Eurographics Association, 2020)
Explainable artificial intelligence (XAI) methods aim to reveal the non-transparent decision-making mechanisms of black-box models. The evaluation of insight generated by such XAI methods remains challenging as the applied ...
VMV 2022: Frontmatter
(The Eurographics Association, 2022)
Visual Exploration of Preference-based Routes in Ski Resorts
(The Eurographics Association, 2022)
Ski resorts exhibit a variety of available pistes and lifts, to which every skier has intrinsic preferences. While novices tend to favor easy pistes, experts might opt for more advanced pistes. In large resorts, the vast ...
ViNNPruner: Visual Interactive Pruning for Deep Learning
(The Eurographics Association, 2022)
Neural networks grow vastly in size to tackle more sophisticated tasks. In many cases, such large networks are not deployable on particular hardware and need to be reduced in size. Pruning techniques help to shrink deep ...
Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics
(The Eurographics Association, 2020)
Guidance processes in visual analytics applications often lack adaptivity. In this position paper, we contribute the concept of co-adaptive guidance, building on the principles of initiation and adaptation. We argue that ...