Neural representation of space using sinusoidal arrays
Neural Computation
Navigating large virtual spaces
International Journal of Human-Computer Interaction - Special issue on human-virtual environment interaction
Spatial representation for navigation in animats
Adaptive Behavior
Learning View Graphs for Robot Navigation
Autonomous Robots - Special issue on autonomous agents
The use of sketch maps to measure cognitive maps of virtual environments
VRAIS '95 Proceedings of the Virtual Reality Annual International Symposium (VRAIS'95)
Learning View Graphs for Robot Navigation
Autonomous Robots - Special issue on autonomous agents
Behavioral Experiments in Spatial Cognition Using Virtual Reality
Spatial Cognition, An Interdisciplinary Approach to Representing and Processing Spatial Knowledge
Modelling Navigational Knowledge by Route Graphs
Spatial Cognition II, Integrating Abstract Theories, Empirical Studies, Formal Methods, and Practical Applications
Oblique Angled Intersections and Barriers: Navigating through a Virtual Maze
Spatial Cognition II, Integrating Abstract Theories, Empirical Studies, Formal Methods, and Practical Applications
Recognition-Triggered Response and the View-Graph Approach to Spatial Cognition
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Worldlets: 3-D Thumbnails for Wayfinding in Large Virtual Worlds
Presence: Teleoperators and Virtual Environments
Judging Perceived and Traversed Distance in Virtual Environments
Presence: Teleoperators and Virtual Environments
The Role of Global and Local Landmarks in Virtual Environment Navigation
Presence: Teleoperators and Virtual Environments
International Journal of Human-Computer Studies
Dynamic landmark placement as a navigation aid in virtual worlds
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
Route Learning Strategies in a Virtual Cluttered Environment
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
Embodied spatial cognition: Biological and artificial systems
Image and Vision Computing
Impact of cognitive style on spatial knowledge acquisition
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Future Generation Computer Systems
The role of geographical slant in virtual environment navigation
Spatial cognition III
Cognition meets le corbusier: cognitive principles of architectural design
Spatial cognition III
Context effects in memory for routes
Spatial cognition III
Change detection in desktop virtual environments: An eye-tracking study
Computers in Human Behavior
Bio-inspired architecture for active sensorimotor localization
SC'10 Proceedings of the 7th international conference on Spatial cognition
Understanding individual differences: learning space in virtual environments
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Global navigation through local reference frames
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Finding the way inside: linking architectural design analysis and cognitive processes
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
An evaluation tool for research of user behavior in a realistic mobile environment
Personal and Ubiquitous Computing
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Spatial behavior in humans and animals includes a wide variety of behavioral competences and makes use of a large number of sensory cues. Here we studied the ability of human subjects to search locations, to find shortcuts and novel paths, to estimate distances between remembered places, and to draw sketch maps of the explored environment; these competences are related to goal-independent memory of space, or cognitive maps. Information on spatial relations was restricted to two types: a visual motion sequence generated by simulated movements in a virtual maze and the subject's own movement decisions defining the path through the maze. Visual information was local (i.e., no global landmarks or compass informa tion was provided). Other position and movement information (vestibular or proprioceptive) was excluded. The amount of visual information provided was varied over four experimental conditions. The results indicate that human subjects are able to learn a virtual maze from sequences of local views and movements. The information acquired is local, consisting of recognized positions and movement decisions associated to them. Although simple associations of this type can be shown to be present in some subjects, more complete configurational knowledge is acquired as well. The results are discussed in a view-based framework of navigation and the representation of spatial knowledge by means of a view graph.