R. Jianu, N. Silva, N. Rodrigues, T. Blascheck, T. Schreck, and D. Weiskopf, “Gaze‐Aware Visualisation: Design Considerations and Research Agenda,”
Computer Graphics Forum, 2025, doi:
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M. Koch, N. Pathmanathan, D. Weiskopf, and K. Kurzhals, “How Deep Is Your Gaze? Leveraging Distance in Image-Based Gaze Analysis,” in
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), New York, NY, USA: ACM, 2024, pp. 1–7. doi:
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D. Klötzl, T. Krake, M. Becher, M. Koch, D. Weiskopf, and K. Kurzhals, “NMF-Based Analysis of Mobile Eye-Tracking Data,” in
Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, 2024, pp. 1–9. doi:
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D. Weiskopf, “Bridging Quantitative and Qualitative Methods for Visualization Research: A Data/Semantics Perspective in Light of Advanced AI,” in
2024 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), IEEE, Ed., IEEE, 2024, pp. 119–128. doi:
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M. Koch, K. Kurzhals, M. Burch, and D. Weiskopf, “Visualization Psychology for Eye Tracking Evaluation,” in
Visualization Psychology, D. Albers Szafir, R. Borgo, M. Chen, D. J. Edwards, B. Fisher, and L. Padilla, Eds., Cham: Springer International Publishing, 2023, pp. 243–260. doi:
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K.-T. Chen et al., “Reading Strategies for Graph Visualizations That Wrap Around in Torus Topology,” in
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K.-T. Chen et al., “Gazealytics : A Unified and Flexible Visual Toolkit for Exploratory and Comparative Gaze Analysis,” in
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N. Rodrigues, C. Schulz, S. Döring, D. Baumgartner, T. Krake, and D. Weiskopf, “Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution,”
IEEE Transactions on Visualization and Computer Graphics, vol. 29, Art. no. 1, Jan. 2023, doi:
10.1109/TVCG.2022.3209429.
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T. Krake, M. von Scheven, J. Gade, M. Abdelaal, D. Weiskopf, and M. Bischoff, “Efficient Update of Redundancy Matrices for Truss and Frame Structures,”
Journal of Theoretical, Computational and Applied Mechanics, 2022, [Online]. Available:
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T. Krake, A. Bruhn, B. Eberhardt, and D. Weiskopf, “Efficient and Robust Background Modeling with Dynamic Mode Decomposition,”
Journal of Mathematical Imaging and Vision (2022), 2022, doi:
10.1007/s10851-022-01068-0.
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M. Koch, D. Weiskopf, and K. Kurzhals, “A Spiral into the Mind: Gaze Spiral Visualization for Mobile Eye Tracking,”
Proceedings of the ACM on Computer Graphics and Interactive Techniques, vol. 5, Art. no. 2, May 2022, doi:
10.1145/3530795.
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G. Richer, A. Pister, M. Abdelaal, J.-D. Fekete, M. Sedlmair, and D. Weiskopf, “Scalability in Visualization,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–15, 2022.
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P. Schäfer, N. Rodrigues, D. Weiskopf, and S. Storandt, “Group Diagrams for Simplified Representation of Scanpaths,” in
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K. Angerbauer et al., “Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures,” in
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F. Chiossi et al., “Adapting visualizations and interfaces to the user,”
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T. Krake, D. Klötzl, B. Eberhardt, and D. Weiskopf, “Constrained Dynamic Mode Decomposition,”
IEEE Transactions on Visualization and Computer Graphics, pp. 1–11, 2022, doi:
10.1109/tvcg.2022.3209437.
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N. Rodrigues, L. Shao, J. J. Yan, T. Schreck, and D. Weiskopf, “Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection,” in
2022 Symposium on Eye Tracking Research and Applications, in ETRA ’22. New York, NY, USA: Association for Computing Machinery, 2022, pp. 59:1–59:7. doi:
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F. Schreiber and D. Weiskopf, “Quantitative Visual Computing,”
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R. Bian et al., “Implicit Multidimensional Projection of Local Subspaces,”
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L. Zhou, C. R. Johnson, and D. Weiskopf, “Data-Driven Space-Filling Curves,”
IEEE Transactions on Visualization and Computer Graphics, vol. 27, Art. no. 2, 2021, doi:
10.1109/TVCG.2020.3030473.
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A. Kumar, D. Mohanty, K. Kurzhals, F. Beck, D. Weiskopf, and K. Mueller, “Demo of the EyeSAC System for Visual Synchronization, Cleaning, and Annotation of Eye Movement Data,” in
ACM Symposium on Eye Tracking Research and Applications, in ETRA ’20 Adjunct. New York, NY, USA: Association for Computing Machinery, 2020. doi:
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L. Merino, M. Schwarzl, M. Kraus, M. Sedlmair, D. Schmalstieg, and D. Weiskopf, “Evaluating Mixed and Augmented Reality: A Systematic Literature Review (2009 – 2019),” in
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N. Rodrigues, C. Schulz, A. Lhuillier, and D. Weiskopf, “Cluster-Flow Parallel Coordinates: Tracing Clusters Across Subspaces,” in
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A. Kumar, P. Howlader, R. Garcia, D. Weiskopf, and K. Mueller, “Challenges in Interpretability of Neural Networks for Eye Movement Data,” in
ACM Symposium on Eye Tracking Research and Applications, in ETRA ’20 Short Papers. New York, NY, USA: Association for Computing Machinery, 2020. doi:
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D. Weiskopf, “Vis4Vis: Visualization for (Empirical) Visualization Research,” in
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L. Zhou, M. Rivinius, C. R. Johnson, and D. Weiskopf, “Photographic High-Dynamic-Range Scalar Visualization,”
IEEE Transactions on Visualization and Computer Graphics, vol. 26, Art. no. 6, 2020, doi:
10.1109/TVCG.2020.2970522.
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N. Pathmanathan et al., “Eye vs. Head: Comparing Gaze Methods for Interaction in Augmented Reality,” in
Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), ACM, 2020, pp. 50:1–50:5. doi:
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K. Kurzhals et al., “Visual Analytics and Annotation of Pervasive Eye Tracking Video,” in
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K. Kurzhals, M. Burch, and D. Weiskopf, “What We See and What We Get from Visualization: Eye Tracking Beyond Gaze Distributions and Scanpaths,”
CoRR, 2020, [Online]. Available:
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R. Garcia and D. Weiskopf, “Inner-Process Visualization of Hidden States in Recurrent Neural Networks,” in
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10.1145/3430036.3430047.
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S. Öney et al., “Evaluation of Gaze Depth Estimation from Eye Tracking in Augmented Reality,” in
Proceedings of the Symposium on Eye Tracking Research & Applications-Short Paper (ETRA-SP), ACM, 2020, pp. 49:1–49:5. doi:
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V. Bruder, K. Kurzhals, S. Frey, D. Weiskopf, and T. Ertl, “Space-Time Volume Visualization of Gaze and Stimulus,” in
Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), K. Krejtz and B. Sharif, Eds., ACM, 2019, pp. 12:1–12:9. doi:
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V. Bruder et al., “Volume-Based Large Dynamic Graph Analysis Supported by Evolution Provenance,”
Multimedia Tools and Applications, vol. 78, Art. no. 23, 2019, doi:
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L. Zhou, R. Netzel, D. Weiskopf, and C. R. Johnson, “Spectral Visualization Sharpening,” in
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R. Netzel, N. Rodrigues, A. Haug, and D. Weiskopf, “Compensation of Simultaneous Orientation Contrast in Superimposed Textures,” in
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N. Silva et al., “Eye Tracking Support for Visual Analytics Systems: Foundations, Current Applications, and Research Challenges,” in
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C. Schulz, A. Zeyfang, M. van Garderen, H. Ben Lahmar, M. Herschel, and D. Weiskopf, “Simultaneous Visual Analysis of Multiple Software Hierarchies,” in
Proceedings of the IEEE Working Conference on Software Visualization (VISSOFT), IEEE, 2018, pp. 87–95. [Online]. Available:
https://ieeexplore.ieee.org/document/8530134/BibTeX
N. Rodrigues and D. Weiskopf, “Nonlinear Dot Plots,”
IEEE Transactions on Visualization and Computer Graphics, vol. 24, Art. no. 1, 2018, doi:
10.1109/TVCG.2017.2744018.
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N. Rodrigues, R. Netzel, J. Spalink, and D. Weiskopf, “Multiscale Scanpath Visualization and Filtering,” in
Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), L. L. Chuang, M. Burch, and K. Kurzhals, Eds., ACM, 2018, pp. 2:1–2:5. doi:
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M. Behrisch et al., “Quality Metrics for Information Visualization,”
Computer Graphics Forum, vol. 37, Art. no. 3, 2018, doi:
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C. Schulz, N. Rodrigues, K. Damarla, A. Henicke, and D. Weiskopf, “Visual Exploration of Mainframe Workloads,” in
Proceedings of the SIGGRAPH Asia Symposium on Visualization, ACM, 2017, pp. 4:1–4:7. doi:
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R. Netzel, J. Vuong, U. Engelke, S. I. O’Donoghue, D. Weiskopf, and J. Heinrich, “Comparative Eye-tracking Evaluation of Scatterplots and Parallel Coordinates,”
Visual Informatics, vol. 1, Art. no. 2, 2017, doi:
10.1016/j.visinf.2017.11.001.
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N. Rodrigues et al., “Visualization of Time Series Data with Spatial Context: Communicating the Energy Production of Power Plants,” in
Proceedings of the ACM Symposium on Visual Information Communication and Interaction (VINCI), 2017, pp. 37–44. doi:
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K. Kurzhals, E. Çetinkaya, Y. Hu, W. Wang, and D. Weiskopf, “Close to the Action: Eye-Tracking Evaluation of Speaker-Following Subtitles,” in
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, ACM, Ed., 2017, pp. 6559–6568. doi:
10.1145/3025453.3025772.
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K. Kurzhals, M. Stoll, A. Bruhn, and D. Weiskopf, “FlowBrush: Optical Flow Art,” in
Symposium on Computational Aesthetics, Sketch-Based Interfaces and Modeling, and Non-Photorealistic Animation and Rendering (EXPRESSIVE, co-located with SIGGRAPH)., 2017, pp. 1:1–1:9. doi:
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N. Rodrigues, M. Burch, L. Di Silvestro, and D. Weiskopf, “A Visual Analytics Approach for Word Relevances in Multiple Texts,” in
Proceedings of the International Conference on Information Visualisation (IV), IEEE, 2017, pp. 1–7. [Online]. Available:
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D. Weiskopf, M. Burch, L. L. Chuang, B. Fischer, and A. Schmidt,
Eye Tracking and Visualization: Foundations, Techniques, and Applications. Berlin, Heidelberg: Springer, 2016. [Online]. Available:
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K. Kurzhals, B. Fisher, M. Burch, and D. Weiskopf, “Eye Tracking Evaluation of Visual Analytics,”
Information Visualization, vol. 15, Art. no. 4, 2016, doi:
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K. Kurzhals, M. Hlawatsch, F. Heimerl, M. Burch, T. Ertl, and D. Weiskopf, “Gaze Stripes: Image-Based Visualization of Eye Tracking Data,”
IEEE Transactions on Visualization and Computer Graphics, vol. 22, Art. no. 1, 2016, doi:
10.1109/TVCG.2015.2468091.
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A. Kumar, R. Netzel, M. Burch, D. Weiskopf, and K. Mueller, “Multi-Similarity Matrices of Eye Movement Data,” in
Proceedings of the Symposium on Eye Tracking and Visualization (ETVIS), 2016, pp. 26–30. [Online]. Available:
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R. Netzel, M. Burch, and D. Weiskopf, “Interactive Scanpath-Oriented Annotation of Fixations,”
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, pp. 183–187, 2016, doi:
10.1145/2857491.2857498.
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M. Burch, R. Woods, R. Netzel, and D. Weiskopf, “The Challenges of Designing Metro Maps,”
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016, doi:
10.5220/0005679601950202.
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R. Netzel, M. Burch, and D. Weiskopf, “User Performance and Reading Strategies for Metro Maps: An Eye Tracking Study,”
Special Issue on Eye Tracking for Spatial Research in Spatial Cognition and Computation: An Interdisciplinary Journal, 2016, doi:
10.1080/13875868.2016.1226839.
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K. Kurzhals, M. Hlawatsch, M. Burch, and D. Weiskopf, “Fixation-Image Charts,” in
Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), ACM, Ed., ACM, 2016, pp. 11–18. doi:
10.1145/2857491.2857507.
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T. Blascheck, F. Beck, S. Baltes, T. Ertl, and D. Weiskopf, “Visual analysis and coding of data-rich user behavior,” in
IEEE Conference on Visual Analytics Science and Technology, IEEE, 2016, pp. 141–150. doi:
10.1109/vast.2016.7883520.
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K. Kurzhals, M. Burch, T. Pfeiffer, and D. Weiskopf, “Eye Tracking in Computer-based Visualization,”
Computing in Science & Engineering, vol. 17, Art. no. 5, 2015, doi:
10.1109/MCSE.2015.93.
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