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Call for Contributions Spatial Cognition 2010 Mt. Hood / Portland, Oregon |
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HOME LOCATION TUTORIALS WORKSHOPS POSTER SESSION DOCTORAL COLLOQUIUM
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TUTORIALS AT SC 2010CHAIR: Kai-Florian Richter (University of Bremen, Germany) tutorials@spatial-cognition-2010.com
1) Environmental Modeling: Using Space Syntax in Spatial Cognition Research Morning: tutorial Spatial cognition researchers have exacting methods for studying how people navigate, learn, and remember buildings, cities, and other large environments. Architects and planners have similarly careful computational methods for modeling the physical form of these environments. With this combination tutorial and workshop, we hope to further the pairing of behavioral methods and environmental models in spatial cognition research. The morning tutorial session will include a hands-on lesson in using environmental modeling techniques known as space syntax. No prior experience is necessary for the tutorial. • Using environmental models (axial maps, segment maps, isovists, visibility graph analysis, agents, etc.) to address theoretical questions concerning spatial knowledge, spatial learning, locomotion, wayfinding, and other topics in spatial cognition. More details at: http://geocog.geog.ucsb.edu/envmod2010/
Afternoon In this half-day tutorial, we introduce the YAMAMOTO modeling toolkit that has been developed for the rapid modeling and visualization of multi-level buildings in 3-D, including the furnishing and landmark objects. YAMAMOTO provides a route finding component that automatically generates visual route descriptions to support indoor navigation and wayfinding tasks in complex buildings. The tool can be of interest for researchers, architects, and teachers concerned with indoor wayfinding, visualization, and spatial learning. We will show how to apply the tool for the modeling of real or fictive buildings and demonstrate how to explore such a building model from different perspectives and viewpoints in desktop virtual environments. We will explain how to use the toolkit’s dedicated features to create visual route descriptions for wayfinding. We further report on how we have utilized YAMAMOTO models for empirical studies on wayfinding and spatial learning. More details at: http://w5.cs.uni-sb.de/~stahl/MMIE-Tutorial/index.html
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