Publication | Open Access
Wayfinding in an Unfamiliar Environment
151
Citations
33
References
2004
Year
Sketch MapEngineeringLandscape ArchitectureEnvironmental DesignLocalizationSocial SciencesBuilt EnvironmentLearning EnvironmentSpatial ReasoningUnfamiliar EnvironmentCartographyCognitive ScienceSpatial TheoryDesignWayfindingArchitectural DesignUrban DesignSpatial OrientationRoute PlanningHuman-computer InteractionSpatial Cognition
The study investigates how newcomers orient themselves in unfamiliar environments, highlighting the role of landmarks and spatial differentiation in building environmental knowledge. Researchers compared two building layouts—a symmetrical, multi‑floor design with monotonous units and an asymmetrical, single‑floor corridor with repetitive units—to examine strategy use in learning large‑scale spatial environments. Wayfinding success correlated with sketch‑map accuracy and questionnaire responses; participants in the asymmetrical layout produced near‑perfect sketch maps, while those in the symmetrical layout drew incomplete maps yet still navigated with few errors.
The purpose of this article is to explore spatial orientation and wayfinding behavior of newcomers in an unfamiliar environment and to emphasize the importance of landmarks and spatial differentiation in the acquisition of environmental knowledge. One setting with a symmetrical layout and regularly organized, monotonous units on different floors and another setting with an asymmetrical layout and repetitive units along one side of a linear corridor of one floor were used to explore different strategies for learning about large-scale spatial environments. Wayfinding performance was found to correlate with performances in sketch-map tasks and the answers of a questionnaire about each building. Most of the participants of the asymmetrical setting could complete a sketch map with a minimum of errors. In the symmetrical setting, however, some participants drew incomplete sketch maps but could find their way through the building with a minimum of errors.
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