Representations of commonsense knowledge
Representations of commonsense knowledge
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Haskell: the craft of functional programming
Haskell: the craft of functional programming
Multiagent systems
Modeling Costs of Turns in Route Planning
Geoinformatica
Map use and wayfinding strategies in a multi-building ensemble
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
How much information do you need? schematic maps in wayfinding and self localisation
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
The role of angularity in route choice: an analysis of motorcycle courier GPS traces
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
An interactive sensemaking framework for mobile visual analytics
Proceedings of the 3rd International Symposium on Visual Information Communication
Influence of geometry and objects on local route choices during wayfinding
SC'10 Proceedings of the 7th international conference on Spatial cognition
I can tell by the way you use your walk: real-time classification of wayfinding performance
COSIT'11 Proceedings of the 10th international conference on Spatial information theory
Network and psychological effects in urban movement
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
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
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Relevance in spatial navigation and communication
SC'12 Proceedings of the 2012 international conference on Spatial Cognition VIII
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The least-angle strategy is a common wayfinding method that can be applied in unknown environments if the target direction is known. The strategy is based on the navigator's heuristic to select the street segment at an intersection which is most in line with the target direction. To use this strategy, the navigator needs to know the angles between the target direction and the street segments leading out from the intersection. If the direct view to the target is blocked and the target vector cannot be perceived, the target direction that is needed for the decision process is based on the agent's believed position and orientation (estimated through path integration). The agent's believed position and target direction are distorted by human errors in estimation of distances and directions, mainly affecting the path integration process. In this paper we examine how human estimation errors of distance and rotation influence the decision behavior in the wayfinding process in an unknown street environment. To demonstrate the geometrical consequences for a specific test case, we use a simulated software agent which navigates in a simulated street environment.