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Evaluation of the relationship between spatial learning and image maintenance through isovist analysis
This study presents a method, 3D parametric isovist volumes, to examine the relationship between ‘spatial visibility’ and ‘image maintenance’. The method assesses spatial visibility using 3D isovist analysis and investigates whether people complete a route using the ‘image maintenance’ method in places with limited visibility. The proposed method was applied in a three-phase case study involving ten participants from a design education background. The study employed a questionnaire, a navigation task, and a sketch-map task. Initial results indicate that spatial learning is more effective in areas with high visibility during the navigation process. However, spatial learning in low-visibility areas cannot always be predicted using the ‘image maintenance’ method or the data obtained from ‘spatial cues’.
Evaluation of the relationship between spatial learning and image maintenance through isovist analysis
This study presents a method, 3D parametric isovist volumes, to examine the relationship between ‘spatial visibility’ and ‘image maintenance’. The method assesses spatial visibility using 3D isovist analysis and investigates whether people complete a route using the ‘image maintenance’ method in places with limited visibility. The proposed method was applied in a three-phase case study involving ten participants from a design education background. The study employed a questionnaire, a navigation task, and a sketch-map task. Initial results indicate that spatial learning is more effective in areas with high visibility during the navigation process. However, spatial learning in low-visibility areas cannot always be predicted using the ‘image maintenance’ method or the data obtained from ‘spatial cues’.
Evaluation of the relationship between spatial learning and image maintenance through isovist analysis
Sinem Kırkan (Autor:in) / Mina Hazal Taşcı (Autor:in) / Orkan Zeynel Güzelci (Autor:in)
2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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