Weiße Schrift
VISUAL SUPPORT FOR ARCHITECTURAL DESIGN AND CONSTRUCTION
This project will develop methods to support and evaluate design and construction processes in the architectural context. We will achieve this by incorporating eye tracking methodology combined with visualization and human-computer interaction techniques. This combination will help investigate such processes from a perceptual and cognitive perspective, providing insights into how people work with new visual interfaces and how they perceive virtual and real-world architecture. New techniques will be developed to handle spatio-temporal data in such a context with post-experimental evaluation as well as live processing with gaze-based interaction techniques. Specifically, we will focus on the analysis and support of collaborative procedures (e.g., gigamapping) and design parameter space exploration. Both scenarios provide new challenges for analysis in social and desktop-based situations. We will then extend our research on scenarios in spatial contexts, i.e., movement through real, virtual, and augmented buildings. Our research will finally be extended by scenarios in fabrication and construction environments where in addition to evaluation procedures, the development of techniques for gaze-based human-machine interaction promises new ways to support working routines.
PRINCIPAL INVESTIGATOR
Dr. Kuno Kurzhals
Visualization Research Center (VISUS), University of Stuttgart
TEAM
PEER-REVIEWED PUBLICATIONS
2023
- Kurzhals, K. (2023). Privacy in Eye Tracking Research with Stable Diffusion. Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 1–7. https://doi.org/10.1145/3588015.3589842
- Pathmanathan, N., Öney, S., Becher, M., Sedlmair, M., Weiskopf, D., & Kurzhals, K. (2023). Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments. Computer Graphics Forum, 42(3), Article 3. https://doi.org/10.1111/cgf.14838
- Öney, S., Pathmanathan, N., Becher, M., Sedlmair, M., Weiskopf, D., & Kurzhals, K. (2023). Visual Gaze Labeling for Augmented Reality Studies. Computer Graphics Forum, 42(3), Article 3. https://doi.org/10.1111/cgf.14837
2022
- Abdelaal, M., Schiele, N. D., Angerbauer, K., Kurzhals, K., Sedlmair, M., & Weiskopf, D. (2022). Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations. IEEE Transactions on Visualization and Computer Graphics, 1–11. https://doi.org/10.1109/TVCG.2022.3209427
- Koch, M., Kurzhals, K., Burch, M., & Weiskopf, D. (2022). Visualization Psychology for Eye Tracking Evaluation. arXiv. https://doi.org/10.48550/ARXIV.2204.12860
- Koch, M., Weiskopf, D., & Kurzhals, K. (2022). A Spiral into the Mind: Gaze Spiral Visualization for Mobile Eye Tracking. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 5(2), Article 2. https://doi.org/10.1145/3530795
- Kurzhals, K., Becher, M., Pathmanathan, N., & Reina, G. (2022). Evaluating Situated Visualization in AR with Eye Tracking. 2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), 77–84. https://doi.org/10.1109/BELIV57783.2022.00013
2021
- Franke, M., Martin, H., Koch, S., & Kurzhals, K. (2021). Visual Analysis of Spatio-temporal Phenomena with 1D Projections. Computer Graphics Forum, 40(3), Article 3. https://doi.org/10.1111/cgf.14311
- Kurzhals, K. (2021). Image-Based Projection Labeling for Mobile Eye Tracking. ACM Symposium on Eye Tracking Research and Applications, 1–12. https://doi.org/10.1145/3448017.3457382
OTHER PUBLICATIONS
DATA SETS
2023
- Pathmanathan, N., Öney, S., Becher, M., Sedlmair, M., Weiskopf, D., & Kurzhals, K. (2023). Replication Data for: Been There, Seen That: Visualization of Movement and 3D Eye Tracking Data from Real-World Environments. DaRUS. https://doi.org/10.18419/darus-3383
- Öney, S., Pathmanathan, N., Becher, M., Sedlmair, M., Weiskopf, D., & Kurzhals, K. (2023). Replication Data for: Visual Gaze Labeling for Augmented Reality Studies. DaRUS. https://doi.org/10.18419/darus-3384
2022
- Abdelaal, M., Schiele, N. D., Angerbauer, K., Kurzhals, K., Sedlmair, M., & Weiskopf, D. (2022). Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations. DaRUS. https://doi.org/10.18419/DARUS-3100