Cognitive Issues

Cognition and Wayfinding

3608.1 - A Cognitive Approach to 3D Wayfinding in the Mobile Age

Monday, July 3
2:50 PM - 3:10 PM
Location: Maryland C

The study concerns the gap between the current mobile navigation applications enabled by state-of-the-art geospatial technologies and general public’s intuitive cognitive characteristics. The twofold objectives of the study include 1) to analyze the mismatch between the off-the-shelf navigation systems and the general public’s innate cognitive characteristics for wayfinding; and 2) to develop a new visual framework of 3D wayfinding applications that bridges the gap identified in the first objective. For the first objective, a systematic analysis is presented with regard to the mismatch. For the second objective, a new modeling framework for 3D navigation, named Integrative Visual Salience Framework, is introduced. The framework mimics the human cognitive process in wayfinding. It quantifies the saliency of individual building and visualizes it accordingly in a virtual 3D urban environment for wayfinding. Based on the cognitive characteristics of wayfinding behaviors and considering the relationships among pathfinder, buildings, and local context of the urban environment, this framework defines and distinguishes two types of variables related to the saliency of a building, the global salience variables and the local salience variables. Then an adaptive weight distribution method is developed to determine the weight for each variable. Global salience is estimated in the context of a broader urban space, while local salience is estimated in the local region. Finally, a synthesized salience model is constructed by integrating the global and local salience values with consideration of the visibility factor. The salience values are used to identify most salient landmarks in each scene on the path of wayfinding. In the implemented prototype, 3D visualization is made for each scene showing buildings with varying levels of details according to their salience values. This study contributes to the research on intelligent 3D navigation systems that provide effective visual guidance for wayfinding tasks in virtual urban environments.

Xiaobai Angela. Yao

Dr. X. Angela Yao
University of Georgia

Dr. Xiaobai Angela Yao is professor of Geography at the University of Georgia (UGA). She obtained her BS degree in Urban Planning and Management from the Wuhan University in China and her M.S. in GIS from the International Institute of Aerospace and Earth Science (ITC) in the Netherlands. After receiving a Ph.D in Geography from the State University of New York at Buffalo, she joined the Geography faculty at UGA. Dr. Yao’s research interests center on geospatial analysis and modeling, transportation and urban/regional analysis, location-based social media data, health, and GIScience in general. She is currently Chair of the International Cartographic Association (ICA) Commission of Spatial Analysis and Modeling.

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Sara Irina Fabrikant

Professor
University of Zürich

Sara Irina Fabrikant, a Swiss Mapematician and Geography Professor is Head Teaching of the Geography Department at the University of Zurich, where she also heads the Geographic Information Visualisation and Analysis Group. She currently serves the ICA as a Vice President. Her research interests lie in geovisual analytics, GIScience and cognition, and dynamic cartography. She is a member of the Swiss Science & Innovation Council. She has been the program committee co-chair of various conferences (e.g., AGILE 2008, GIScience 2010, CartoCon 2014, COSIT 2015), and also serves as a member of various editorial journal boards in her field of research.

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