Publications and Awards

Y. Wang, J. Nagasawa, D. Shi, C. Jiao, Y. Jiang, and A. Bulling, “Is this it? Benchmarking Scanpath Metrics for Information Display,” in Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), ACM, Jun. 2026, pp. 1–7. doi: 10.1145/3797246.3805691.

M. Evers et al., “Uncertainty-Aware Visual Analysis of Force Networks in 2D Granular Materials,” Computer Graphics Forum, vol. 45, Art. no. 3, May 2026, doi: 10.1111/cgf.70438.

J. Wieland, S. Abed, A. V. Reinschluessel, J. Zagermann, H. Reiterer, and T. Feuchtner, “Extending the Fishing Reel - Improving Multiple Object Selection in VR Using Transparency and a Resizable Pointer,” in Proceedings of the 1st International Conference on Human-Computer Interaction in the Alps, New York, NY, USA: ACM, May 2026, pp. 1–7. doi: 10.1145/3780045.3780046.

J. Satkunarajan, M. Abdelaal, S. Koch, K. Kurzhals, and D. Weiskopf, “Can LLMs Simulate Target Users in Visualization Case Studies?,” Computer Graphics Forum, vol. 45, Art. no. 3, May 2026, doi: 10.1111/cgf.70446.

K. Schnizer, T. Mitrevska, B. Tag, A. El Ali, and S. Mayer, “PhysioCHI: Lessons Learned from Implementing Human-Centered Physiological Computing,” in Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, Apr. 2026, pp. 1–3. doi: 10.1145/3772363.3778794.

F. Chiossi, E. Imamaliyev, M. Bleichner, and S. Mayer, “Anticipation Before Action: EEG-Based Implicit Intent Detection for Adaptive Gaze Interaction in Mixed Reality,” in Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, Apr. 2026, pp. 1–24. doi: 10.1145/3772318.3790523.

S. Hubenschmid et al., “Hybrid User Interfaces: Past, Present, and Future of Complementary Cross-Device Interaction in Mixed Reality,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–20, Apr. 2026, doi: 10.1109/tvcg.2026.3683941.

V. Oei et al., “RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo,” in 14th International Conference on Learning Representations (ICLR 2026), Apr. 2026.

S. Geringer et al., “Eyes in the clouds: spatial data analysis with gaze-enhanced point clouds,” Journal of Visualization, Apr. 2026, doi: 10.1007/s12650-025-01096-z.

J. Wieland, D. Immanuel Fink, A. V. Reinschluessel, J. Häßler, T. Feuchtner, and H. Reiterer, “Using Digital Twins to Design and Evaluate Interactive Exhibitions: A Case Study with Handheld AR,” in Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, Apr. 2026, pp. 1–26. doi: 10.1145/3772318.3790852.

K. Angerbauer, S. König, M. Wieland, and M. Sedlmair, “Virtual Tours with Accessibility Annotations: A Prototype for Campus Accessibility Assessment for Mobility-Disabled Students,” in 2026 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE, Mar. 2026, pp. 1251–1252. doi: 10.1109/vrw70859.2026.00300.

A. Jahedi, M. Rivinius, N. Berenguel Senn, and A. Bruhn, “Reviving Unsupervised Optical Flow: Concept Reevaluation, Multi-Scale Advances and Full Open-Source Release,” in 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Mar. 2026, pp. 1533–1542.

M. Wieland et al., “Making Eye Contact Accessible: Augmenting Gaze in Job Interviews for People with Visual Impairments,” in Proc. Augmented Humans International Conference, in AHs. ACM, Feb. 2026. doi: 10.1145/3795011.3795045.

H. Tarner, P. Gralka, G. Reina, F. Beck, and S. Frey, “Visually enriching and comparing runtime performance of visualization pipelines,” Journal of Visualization, 2026, doi: 10.1007/s12650-025-01091-4.

L. Joos et al., “Show Me Your Best Side: Characteristics of User-Preferred Perspectives for 3D Graph Drawings,” Journal of Graph Algorithms and Applications, vol. 30, Art. no. 2, 2026, doi: 10.7155/jgaa.v30i2.3102.

D. Garkov et al., “Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–14, 2026, doi: 10.1109/tvcg.2026.3671472.

C. Wu et al., “Probabilistic Inclusion Depth for Fuzzy Contour Ensemble Visualization,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–11, 2026, doi: 10.1109/tvcg.2026.3694451.

S. A. Vriend, D. Hägele, and D. Weiskopf, “Two Empirical Studies on Audiovisual Semiotics of Uncertainty,” in Proceedings of the 20th International Audio Mostly Conference, ACM, Ed., New York, NY, USA: ACM, 2026, pp. 107–123. doi: 10.1145/3771594.3771604.

P. Paetzold, R. Kehlbeck, Y. Xue, B. Chen, Y. Wang, and O. Deussen, “Neighborhood-Preserving Voronoi Treemaps,” IEEE Transactions on Visualization and Computer Graphics, vol. 32, Art. no. 1, 2026, doi: 10.1109/tvcg.2025.3633905.

M. Koch, N. Pathmanathan, D. Weiskopf, and K. Kurzhals, “A Multimodal Framework for Understanding Collaborative Design Processes,” IEEE Transactions on Visualization and Computer Graphics, vol. 32, Art. no. 1, 2026, doi: 10.1109/tvcg.2025.3634232.

C. Anthes et al., “Grand Challenges in Cross Reality,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–20, 2026, doi: 10.1109/tvcg.2026.3695303.

D. Blumberg, P. Paetzold, M. Stroh, O. Deussen, D. A. Keim, and F. L. Dennig, “FluidMap: Proportional and Spatially Consistent Layout Enrichments in Multidimensional Projections,” Computer Graphics Forum, 2026, doi: 10.1111/cgf.70293.

L. Joos, D. A. Keim, and M. T. Fischer, “Leveraging LLMs for semi-automatic corpus filtration in systematic literature reviews,” Computers & Graphics, vol. 135, p. 104537, 2026, doi: 10.1016/j.cag.2026.104537.

B. Chen, Y. Xue, P. Paetzold, and O. Deussen, “Demystifying UMAP artifacts: An interactive study on diagnosis and steering using 3D probes,” Information Visualization, 2026, doi: 10.1177/14738716261434908.

D. Dietz et al., “VReflect: Evaluating the Impact of Perspectives, Mirrors and Avatars in Virtual Reality Movement Training,” in Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology, New York, NY, USA: ACM, Dec. 2025, pp. 1–11. doi: 10.1145/3756884.3766021.

L. Zhou, X. Gou, and D. Weiskopf, “Continuous Indexed Points for Multivariate Volume Visualization,” Computational Visual Media, vol. 11, Art. no. 6, Dec. 2025, doi: 10.26599/cvm.2025.9450496.

S. Künzel, S. Geringer, Q. Q. Ngo, P. Voglreiter, D. Weiskopf, and D. Schmalstieg, “Potentially Visible Set Generation with the Disocclusion Buffer,” in Proceedings of the SIGGRAPH Asia 2025 Conference Papers, New York, NY, USA: ACM, Dec. 2025, pp. 1–12. doi: 10.1145/3757377.3763981.

S. Hubenschmid et al., “SpatialMouse: A Hybrid Pointing Device for Seamless Interaction Across 2D and 3D Spaces,” in Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology, New York, NY, USA: ACM, Nov. 2025, pp. 1–13. doi: 10.1145/3756884.3766047.

S. Hubenschmid et al., “Revisiting Hybrid Input Devices for Immersive Analytics,” in Human Factors in Immersive Analytics Workshop at IEEE VIS 2025, Vienna, Nov. 2025.

O. Hein, S. Wackerl, C. Ou, F. Alt, and F. Chiossi, “At the Speed of the Heart: Evaluating Physiologically-Adaptive Visualizations for Supporting Engagement in Biking Exergaming in Virtual Reality,” in Proceedings of the First Annual Conference on Human-Computer Interaction and Sports, New York, NY, USA: ACM, Nov. 2025, pp. 1–18. doi: 10.1145/3749385.3749398.

D. Garkov, B. H. Thomas, G. Liotta, A. Jordan, K. Klein, and F. Schreiber, “Six Considerations for Designing and Evaluating Collaboration in Immersive Environments.” IEEE, pp. 15–19, Nov. 2025. doi: 10.1109/hfia68651.2025.00008.

J. Schmid, A. Jahedi, N. Berenguel Senn, and A. Bruhn, “MS-RAFT-3D: A Multi-Scale Architecture for Recurrent Image-Based Scene Flow,” in IEEE International Conference on Image Processing (ICIP), Sep. 2025.

M. Sönnichsen, M. Elfares, Y. Wang, R. Küsters, A. Roitberg, and A. Bulling, “AttentionLeak: What Does Human Attention Reveal About Information Visualisation?,” in International Conference on Document Analysis and Recognition, Cham: Springer Nature Switzerland, Sep. 2025, pp. 1–11. doi: 10.1007/978-3-032-04627-7_5.

Y. Cherif, C. Sayffaerth, F. Chiossi, and L. Schütz, “Stress by Design? The Influence of Online Exam Interfaces on Student Anxiety,” in Proceedings of the Mensch und Computer 2025, New York, NY, USA: ACM, Aug. 2025, pp. 705–710. doi: 10.1145/3743049.3748538.

C. Fan, Y. Zhang, D. Saupe, R. Hamzaoui, and W. Lin, “PC-JND: Subjective Study and Dataset on Just Noticeable Difference for Point Clouds in 6DoF Virtual Reality,” arXiv preprint, Jul. 2025, doi: arXiv:2507.21557.

M. Chang, Y. Wang, H. W. Wang, A. Bulling, and C. X. Bearfield, “Grid Labeling: Crowdsourcing Task-Specific Importance from Visualizations,” in Proceedings of the Eurographics Conference on Visualization (EuroVis), ACM, Ed., Jun. 2025, pp. 1–6. doi: 10.1145/3715669.3725883.

R. Bauer, M. Evers, Q. Q. Ngo, G. Reina, S. Frey, and M. Sedlmair, “Voronoi Cell Interface‐Based Parameter Sensitivity Analysis for Labeled Samples,” Computer Graphics Forum, May 2025, doi: 10.1111/cgf.70122.

D. Shi, Y. Wang, Y. Bai, A. Bulling, and A. Oulasvirta, “Chartist: Task-driven Eye Movement Control for Chart Reading,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, New York, NY, United States, May 2025, pp. 1–14. doi: 10.1145/3706598.3713128.

T. Nishiyasu, T. Kostorz, Y. Wang, Y. Sato, and A. Bulling, “ChartQC: Question Classification from Human Attention Data on Charts,” in Proceedings of the Symposium on Eye Tracking Research & Applications (ETRA), May 2025, pp. 1–6. doi: 10.1145/3715669.3725883.

Z. Wu, Y. Wang, M. Langer, and A. M. Feit, “RelEYEance: Gaze-based Assessment of Users’ AI-reliance at Run-time,” in Proceedings of the ACM on Human-Computer Interaction, ACM, Ed., May 2025, pp. 1–18. doi: 10.1145/3725841.

K. Angerbauer et al., “Inclusive avatars in the Metaverse: learning from the lived experiences of people with disabilities,” The Journal of Strategic Information Systems, vol. 34, Art. no. 4, 2025, doi: 10.1016/j.jsis.2025.101935.

D. Klötzl, O. Tastekin, D. Hägele, M. Evers, and D. Weiskopf, “Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models.” IEEE, pp. 38–47, 2025. doi: 10.1109/uncertaintyvisualization68947.2025.00010.

C. Flöter, S. Geringer, G. Reina, D. Weiskopf, and T. Ropinski, “Evaluating Foveated Frame Rate Reduction in Virtual Reality for Head-Mounted Displays,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 1–7. doi: 10.1145/3715669.3725870.

F. Grioui, Y. A. Amzir, N. Doerr, and T. Blascheck, “Comparing Pre-attentive Visual Variables in a Target Identification Task for Glanceable Visualizations,” in IEEE Vis 2025 - Short Papers, 2025.

M. Testolina et al., “Fine-Grained Subjective Visual Quality Assessment for High-Fidelity Compressed Images,” in 2025 Data Compression Conference (DCC), IEEE, 2025, pp. 123–132. doi: 10.1109/dcc62719.2025.00020.

S. Mohammadi et al., “In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images,” in European Workshop on Visual Information Processing (EUVIP), 2025. doi: 10.48550/arXiv.2508.09777.

P. Gralka, C. Müller, S. Geringer, G. Reina, and D. Weiskopf, “Quantifying Energy Reduction of Foveated Volume Visualization,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 1–7. doi: 10.1145/3715669.3725881.

T. Krake, D. Klötzl, D. Hägele, and D. Weiskopf, “Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess,” IEEE Transactions on Visualization and Computer Graphics, vol. 31, Art. no. 2, 2025, doi: 10.1109/tvcg.2024.3364388.

C. Jiao, Y. Wang, G. Zhang, M. Bâce, Z. Hu, and A. Bulling, “DiffGaze: A Diffusion Model for Modelling Fine-grained Human Gaze Behaviour on 360° Images,” ACM Transactions on Interactive Intelligent Systems, pp. 1–22, 2025, doi: 10.1145/3772075.

M. Chang, Y. Wang, H. W. Wang, Y. Zhou, A. Bulling, and C. X. Bearfield, “Tell Me Without Telling Me: Two-Way Prediction of Visualization Literacy and Visual Attention,” in Proceedings of the IEEE Visualization Conference (VIS), Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 1–11. doi: 10.1109/tvcg.2025.3634815.

M. Stroh et al., “Using Saliency for Semantic Image Abstractions in Robotic Painting,” Computer Graphics Forum, vol. 44, Art. no. 7, 2025, doi: 10.1111/cgf.70259.

D. Saupe and T. Bleile, “Robustness and Accuracy of MOS with Hard and Soft Outlier Detection,” in International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2025.

N. Gröne et al., “Interweaving Mathematics and Art: Drawing Graphs as Celtic Knots and Links with CelticGraph,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–12, 2025, doi: 10.1109/tvcg.2025.3545481.

R. Bauer, Q. Q. Ngo, G. Reina, S. Frey, and M. Sedlmair, “QVis: Query-based Visual Analysis of Multiscale Patterns in Spatiotemporal Ensembles,” IEEE Transactions on Visualization and Computer Graphics, pp. 1–15, 2025, doi: 10.1109/tvcg.2025.3629575.

M. Becher, C. Müller, D. Sellenthin, T. Ertl, G. Reina, and D. Weiskopf, “Your visualisations are going places: SciVis on gaming consoles,” Journal of Visualization, vol. 28, pp. 341–357, 2025, doi: 10.1007/s12650-024-01035-4.

M. Jenadeleh et al., “Fine-Grained HDR Image Quality Assessment From Noticeably Distorted to Very High Fidelity,” in International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2025. doi: 10.48550/arXiv.2506.12505.

M. Evers and D. Weiskopf, “Uncertainty-Aware Spectral Visualization,” IEEE Transactions on Visualization and Computer Graphics, vol. 31, Art. no. 10, 2025, doi: 10.1109/tvcg.2025.3542898.

D. Bienroth et al., “Automated integration of multi-slice spatial transcriptomics data in 2D and 3D using VR-Omics,” Genome Biology, vol. 26, Art. no. 1, 2025, doi: 10.1186/s13059-025-03630-6.

R. Cutura et al., “SiGrid: Gridifying Scatterplots with Sector-Based Regularization and Hagrid,” in 2025 IEEE Visualization and Visual Analytics (VIS), IEEE, 2025, pp. 131–135. doi: 10.1109/vis60296.2025.00032.

V. Hosu, L. Agnolucci, D. Iso, and D. Saupe, “Image Intrinsic Scale Assessment: Bridging the Gap Between Quality and Resolution,” in International Conference on Computer Vision (ICCV), 2025. doi: 10.48550/arXiv.2502.06476.

L. Zhang et al., “Towards a Better Understanding of Graph Perception in Immersive Environments,” in 33rd International Symposium on Graph Drawing and Network Visualization (GD 2025), 2025, pp. 1–19. doi: 10.4230/LIPIcs.GD.2025.9.

D. Saupe and S. H. Del Pin, “Uncovering Cultural Influences on Perceptual Image and Video Quality Assessment through Adaptive Quantized Metric Models,” Journal of Perceptual Imaging, vol. 8, Art. no. 0, 2025, doi: 10.2352/j.percept.imaging.2025.7.000407.

F. Schreiber et al., “Sustainable software development in science – insights from 20 years of Vanted,” Journal of Integrative Bioinformatics, p. 20250007, 2025, doi: 10.1515/jib-2025-0007.

M. Koch et al., “Group Gaze-Sharing with Projection Displays,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, New York, NY, USA: ACM, 2025, pp. 92:1–92:7. doi: 10.1145/3715669.3725871.

W. Kerle-Malcharek et al., “The Junction of Immersive Analytics and Virtual Reconstructions – A Case Study on the Mausoleum of Emperor Maxentius,” in 2025 IEEE International Conference on Cyber Humanities (IEEE-CH), IEEE, 2025, pp. 1–6. doi: 10.1109/ieee-ch65308.2025.11279406.

M. Jenadeleh, J. Sneyers, P. Jia, S. Mohammadi, J. Ascenso, and D. Saupe, “Subjective Visual Quality Assessment for High-Fidelity Learning-Based Image Compression,” in International Conference on Quality of Multimedia Experience (QoMEX), IEEE, 2025. doi: 10.48550/arXiv.2504.06301.

A. V. Reinschluessel et al., “Bridging Realities in a Heartbeat : How Integrating Heartbeat Signals Supports Collaboration in Mixed Reality,” in CHI Workshop on “Scaling Distributed Collaboration in Mixed Reality”, 2025. [Online]. Available: http://nbn-resolving.de/urn:nbn:de:bsz:352-2-c76xaw7uu3xa8

D. Garkov et al., “Interactive delineation and quantification of anatomical structure with virtual reality,” bioRxiv 2025.06.17.659041, 2025, doi: 10.1101/2025.06.17.659041.

M.-M. Zymla, K. Kruschwitz, and P. Zodl, “An instructive implementation of semantic parsing and reasoning using Lexical Functional Grammar,” in Proceedings of the 2nd Bridging the Gap between Human and Automated Reasoning Workshop (BriGap-2), 2025.

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: 10.1111/cgf.70097.

L. Joos, D. A. Keim, and M. T. Fischer, “Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews,” in EuroVis Workshop on Visual Analytics (EuroVA), 2025. doi: 10.2312/eurova.20251105.

J. Wieland, H. Cho, S. Hubenschmid, A. Kiuchi, H. Reiterer, and D. Lindlbauer, “Push2AR: Enhancing Mobile List Interactions Using Augmented Reality,” in 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), IEEE, Oct. 2024, pp. 671–680. doi: 10.1109/ismar62088.2024.00082.

S. Geringer et al., “mint: Integrating scientific visualizations into virtual reality,” Journal of Visualization, Aug. 2024, doi: 10.1007/s12650-024-01011-y.

P. Gralka, C. Müller, M. Heinemann, G. Reina, D. Weiskopf, and T. Ertl, “Power Overwhelming: The One With the Oscilloscopes,” Journal of Visualization, Aug. 2024, doi: 10.1007/s12650-024-01001-0.

Y. Wang, Y. Jiang, Z. Hu, C. Ruhdorfer, M. Bâce, and A. Bulling, “VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Behaviour,” Proc. ACM on Human-Computer Interaction (PACM HCI), vol. 8, pp. 1–18, Jul. 2024, doi: 10.1145/3655613.

S. A. Vriend, S. Vidyapu, K.-T. Chen, and D. Weiskopf, “Which Experimental Design is Better Suited for VQA Tasks?: Eye Tracking Study on Cognitive Load, Performance, and Gaze Allocations,” in Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, ACM, Ed., New York, NY, USA: ACM, Jun. 2024, pp. 77:1–77:7. doi: 10.1145/3649902.3653519.

M. Jenadeleh, R. Hamzaoui, U.-D. Reips, and D. Saupe, “Crowdsourced Estimation of Collective Just Noticeable Difference for Compressed Video with the Flicker Test and QUEST+,” IEEE Transactions on Circuits and Systems for Video Technology, p. 1, May 2024, doi: 10.1109/tcsvt.2024.3402363.

D. Saupe and S. Hviid del Pin, “National differences in image quality assessment: An investigation on three large-scale IQA datasets,” in 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), IEEE, Ed., IEEE, May 2024, pp. 214–220. doi: 10.1109/qomex61742.2024.10598250.

M. Jenadeleh, A. Heß, S. Hviid del Pin, E. Gamboa, M. Hirth, and D. Saupe, “Impact of feedback on crowdsourced visual quality assessment with paired comparisons,” in 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), IEEE, Ed., IEEE, May 2024, pp. 125–131. doi: 10.1109/qomex61742.2024.10598256.

Y. Wang et al., “SalChartQA: Question-driven Saliency on Information Visualisations,” in Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI), ACM, May 2024, pp. 1–14. doi: 10.1145/3613904.3642942.

M. Kurzweg, Y. Weiss, M. O. Ernst, A. Schmidt, and K. Wolf, “Survey on Haptic Feedback through Sensory Illusions in Interactive Systems,” ACM Comput. Surv., vol. 56, Art. no. 8, Apr. 2024, doi: 10.1145/3648353.

Y. Xue et al., “Reducing Ambiguities in Line-Based Density Plots by Image-Space Colorization,” IEEE Transactions on Visualization & Computer Graphics, vol. 30, Art. no. 1, Jan. 2024, [Online]. Available: https://www.computer.org/csdl/journal/tg/2024/01/10297597/1RyY1MBMcIo

L. Xiao et al., “A Systematic Review of Ability-diverse Collaboration through Ability-based Lens in HCI,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, New York, NY, USA: ACM, 2024, pp. 1–21. doi: 10.1145/3613904.3641930.

Y. Zhang, H. Williams, F. Schreiber, and K. Klein, “Visualising the Invisible : Exploring Approaches for Visual Analysis of Dynamic Airflow in Geographic Environments Using Sensor Data,” in Proceedings of the EuroVis Workshop on Visual Analytics 2024, Eindhoven, 2024. doi: 10.2312/eurova.20241117.

K. Angerbauer et al., “Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR,” in The 26th International ACM SIGACCESS Conference on Computers and Accessibility, New York, NY, USA: ACM, 2024, pp. 1–15. doi: 10.1145/3663548.3675601.

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: 10.1145/3649902.3653518.

C. Müller and T. Ertl, “Quantifying Performance Gains of DirectStorage for the Visualisation of Time-Dependent Particle Data Sets,” Journal of Visualization, 2024, doi: 10.1007/s12650-024-01036-3.

D. Saupe, K. Rusek, D. Hägele, D. Weiskopf, and L. Janowski, “Maximum Entropy and Quantized Metric Models for Absolute Category Ratings,” IEEE Signal Processing Letters, vol. 31, pp. 2970–2974, 2024, doi: 10.1109/lsp.2024.3480832.

N. Gröne, B. Grüneisen, K. Klein, B. de Bono, T. Czauderna, and F. Schreiber, “Layout of anatomical structures and blood vessels based on the foundational model of anatomy,” Journal of Integrative Bioinformatics, vol. 21, Art. no. 3, 2024, doi: 10.1515/jib-2024-0023.

P. Paetzold, D. Hägele, M. Evers, D. Weiskopf, and O. Deussen, “UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox.” IEEE, pp. 48–50, 2024. doi: 10.1109/uncertaintyvisualization63963.2024.00011.

L. Joos, B. Jäckl, D. A. Keim, M. T. Fischer, L. Peska, and J. Lokoč, “Known-Item Search in Video: An Eye Tracking-Based Study,” in Proceedings of the 2024 International Conference on Multimedia Retrieval (ICMR ’24), New York, NY, USA: ACM, 2024, pp. 311–319. doi: 10.1145/3652583.3658119.

S. Su et al., “Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model,” IEEE Transactions on Multimedia, vol. 26, pp. 2671–2685, 2024, doi: 10.1109/tmm.2023.3301276.

T. Rau et al., “Understanding Collaborative Learning of Molecular Structures in AR with Eye Tracking,” IEEE Computer Graphics and Applications, pp. 1–12, 2024, doi: 10.1109/mcg.2024.3503903.

F. Huth, M. Koch, M. Awad-Mohammed, K. Kurzhals, and D. Weiskopf, “Eye Tracking on Text Reading with Visual Enhancements,” in Symposium on Eye Tracking Research and Applications, in ETRA ’24. New York, NY, USA: Association for Computing Machinery, 2024, p. 7. doi: 10.1145/3649902.3653521.

M. Jenadeleh et al., “An Image Quality Dataset with Triplet Comparisons for Multi-dimensional Scaling,” in 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), IEEE, Ed., IEEE, 2024, pp. 278–281. doi: 10.1109/qomex61742.2024.10598258.

L. Mehl, A. Bruhn, M. Gross, and C. Schroers, “Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting,” in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2024, pp. 4248–4257. doi: 10.1109/wacv57701.2024.00421.

N. Kraus, M. Aichem, K. Klein, E. Lein, A. Jordan, and F. Schreiber, “TIBA: A web application for the visual analysis of temporal occurrences, interactions, and transitions of animal behavior,” PLOS Computational Biology, vol. 20, Art. no. 10, 2024, doi: 10.1371/journal.pcbi.1012425.

S. P. Feyer, B. Pinaud, K. Klein, E. Lein, and F. Schreiber, “Exploring animal behaviour multilayer networks in immersive environments – a conceptual framework,” Journal of Integrative Bioinformatics, vol. 21, Art. no. 3, 2024, doi: 10.1515/jib-2024-0022.

R. Buchmüller, B. Jäckl, M. Behrisch, D. A. Keim, and F. L. Dennig, “cPro: Circular Projections Using Gradient Descent,” in Proceedings of the 15th International EuroVis Workshop on Visual Analytics (EuroVA), The Eurographics Association, 2024. doi: 10.2312/eurova.20241111.

E. Scheurer, J. Schmalfuß, A. Lis, and A. Bruhn, “Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical Flow,” in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE, 2024, pp. 6475–6484. doi: 10.1109/wacv57701.2024.00636.

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