Alzahrani, H., & Fernstad, S. (2026). Blurfisheye: A technique for enhanced biological network visualization. In A. Alsadoon, F. Ghareh Mohammadi, F. Shenavarmasouleh, S. Amirian, H. R. Arabnia, & L. Deligiannidis (Eds), Emerging Trends in Computational Biology, Biomedical Engineering, and Health Informatics (Vol. 2935, pp. 82–101). Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-22199-5_6
Category: Publication
Shapdbm: Exploring decision boundary maps in shapley space
Watkin, L., Archambault, D., & Telea, A. (2026). Shapdbm: Exploring decision boundary maps in shapley space. https://doi.org/10.2312/EVS.20261004
Caring about care: A meta-narrative review of hci research on care
Wang, Z., Guo, Y., Bowman, E., Zhai, Y., Shu, X., Zhang, S., Helms, K., Capel, T., & Vines, J. (2026). Caring about care: A meta-narrative review of hci research on care. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 1–31. https://doi.org/10.1145/3772318.3790811
Fretflow: Adaptive haptics for rhythm and articulation in guitar learning
Shu, X., Shi, L., Lin, Y., Zeng, Y., Luo, T., Ou, J., Eid, M., & Shu, X. (2026). Fretflow: Adaptive haptics for rhythm and articulation in guitar learning. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 1–19. https://doi.org/10.1145/3772318.3791540
Unpacking visual metaphors in infographics: A design space
Guo, Y., Xiao, L., Shu, X., Wu, Q., Lee, B., & Liu, S. (2026). Unpacking visual metaphors in infographics: A design space. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 1–24. https://doi.org/10.1145/3772318.3790840 🏆 Best Paper Honorable Mention
Entropy ordered shapes as bivariate glyphs
Holliman, N. S., Çöltekin, A., Fernstad, S. J., McLaughlin, L., Simpson, M. D., & Woods, A. J. (2024). Entropy ordered shapes as bivariate glyphs. Electronic Imaging, 36, 1-10. https://doi.org/10.2352/EI.2024.36.11.HVEI-206
Multi-level visualization for exploration of structures in missing data
Alsufyani, S., Forshaw, M., Del Din, S., Yarnall, A., Rochester, L., & Fernstad, S. J. (2024). Multi-level visualization for exploration of structures in missing data. CGVC. The Eurographics Association.
Bundling-Aware Graph Drawing Revisited
Wallinger, M., Piselli, T., Tappini, A., Archambault, D., Liotta, G., & Nöllenburg, M. (2025). Bundling-aware graph drawing revisited. IEEE Transactions on Visualization and Computer Graphics, 31(12), 10828–10839. https://doi.org/10.1109/TVCG.2025.3616583
Layers of Doubt: Typology of Temporal Uncertainty in Dynamic Diffusion Networks
Baumgartl, T., Filipov, V., Rajendran, S., Miksch, S., Archambault, D., Arleo, A., & Von Landesberger, T. (2025). Layers of doubt: Typology of temporal uncertainty in dynamic diffusion networks. 2025 IEEE Workshop on Uncertainty Visualization: Unraveling Relationships of Uncertainty, AI, and Decision-Making, 53–57. https://doi.org/10.1109/UncertaintyVisualization68947.2025.00012 🏆 Best Paper Honourable Mention at VIS 2025 Uncertainty Workshop
Embarrassingly Agile — Data Visualization Methodology in Emergency Responses
Kozlikova, B., Archambault, D., Dreesman, J., Kerren, A., Lucini, B., & Turkay, C. (2025). Embarrassingly agile—Data visualization methodology in emergency responses. IEEE Computer Graphics and Applications, 45(5), 138–146. https://doi.org/10.1109/MCG.2025.3595342