The present paper deals with space conceptualization by humans according to the cognitive approach that is mainstream in AI robotics, by using at the same time the expert domain knowledge of outdoor and indoor artificial spaces that are analyzed and designed by architects and planners. The research makes use of text analysis and interpretation, both applied to an in-class questionnaire survey, exploring low level (movement orientation) and high level (memories and fantasies) behaviours in human interaction with a space. The experiment is developed by relying on a large class of students from the Technical University of Bari, daily using a long and apparently amorphous corridor to reach lecturers’ offices for advices, exams and explanations.
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|Titolo:||AI-assisted strategic planning and the human representation of urban spaces|
|Data di pubblicazione:||2009|
|Nome del convegno:||11th International Conference on Computers in Urban Planning and Urban Management (CUPUM 2009)|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|