
3D Sketch Maps
About
The 3D Sketch Maps project, funded by the Swiss National Science Foundation through the Sinergia funding program, investigates 3D sketch maps from theoretical, empirical, cognitive, and technological perspectives, with a particular focus on Extended Reality (XR). Although space is inherently three-dimensional, most research on spatial knowledge still relies on two-dimensional sketches. However, in many domains—such as aviation or the understanding of complex multi-level buildings—people must reason about space in three dimensions, which cannot be adequately captured with traditional 2D methods.
The project demonstrates that virtual reality–based 3D sketching enables people to externalize their knowledge of vertically complex spaces more effectively. Unlike traditional 2D sketches, which often omit or distort vertical information, 3D sketches allow spatial relationships between objects to be represented clearly in all three dimensions. This research highlights the limitations of 2D media for studying spatial knowledge and shows how XR-based 3D visualization can provide a more complete way to capture and communicate how people mentally represent complex spaces.
Project Partners
Understanding Horizontal and Vertical Spatial Memory in Multi-Level Buildings
Our research investigates how people remember spatial relationships in multi-level buildings, focusing on the difference between horizontal relations (within a floor) and vertical relations (across floors). Using virtual environments and VR-based 3D sketch maps, we studied how people reconstruct complex building layouts from memory.
The findings show a clear asymmetry: people remember spatial relations within a floor much more reliably than relations between floors. Vertical relationships are harder to integrate into a coherent mental map, especially when floors are structurally misaligned.
This insight is important for the design of complex environments such as hospitals, airports, or shopping centers, where navigation across multiple levels can be challenging. Understanding how people form spatial memories can help improve building design, wayfinding systems, and safety planning by emphasizing clear vertical structure and orientation cues.
Technology Innovation
Virtual reality (VR) opens new possibilities for studying the three-dimensional aspects of spatial memory. Unlike traditional paper sketches, VR allows users to directly express spatial knowledge within a 3D environment. Our partners at ETH developed VResin, a VR-based sketching interface that combines mid-air 3D drawing with 2D surface sketching in a structured, layer-by-layer workflow.
Using VResin, we extend traditional 2D sketch-map methods to 3D. The layer-based approach helps participants reconstruct complex multi-level buildings and represent spatial relationships across floors in a consistent way.
At a glance:
Funding Period 1:
Publications
2025
Probing mental representations of space through sketch mapping: a scoping review
Simonet, M.; Vater, C.; Abati, C.; Zhong, S.; Mavros, P.; Schwering, A.; Raubal, M.; Holscher, C.; Krukar, J.
Cognitive research: principles and implications
Sketch2Terrain: AI-Driven Real-Time Terrain Sketch Mapping in Augmented Reality
Xiao T.; Chen Y.; Zhong S.; Kiefer P.; Krukar J.; Kim K.G.; Hurni L.; Schwering A.; Raubal M.
Association for Computing Machinery
2024
An algorithmic approach to detect generalization in sketch maps from sketch map alignment
Manivannan C.; Krukar J.; Schwering A.
Public Library of Science
PloS one
VResin: Externalizing spatial memory into 3D sketch maps
Xiao T.; Kim K.G.; Krukar J.; Subramaniyan R.; Kiefer P.; Schwering A.; Raubal M.
Academic Press
International Journal of Human-Computer Studies
2022
Spatial generalization in sketch maps: A systematic classification
Manivannan C.; Krukar J.; Schwering A.
Academic Press
Journal of Environmental Psychology
3D Sketch Maps: Concept, Potential Benefits, and Challenges
Kim K.G.; Krukar J.; Mavros P.; Zhao J.; Kiefer P.; Schwering A.; Hölscher C.; Raubal M.
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Leibniz International Proceedings in Informatics, LIPIcs
Generalized, Inaccurate, Incomplete: How to Comprehensively Analyze Sketch Maps Beyond Their Metric Correctness
Schwering A.; Krukar J.; Manivannan C.; Chipofya M.; Jan S.
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Leibniz International Proceedings in Informatics, LIPIcs
