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.
- 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