Data-driven thinking for measuring the human experience in the built environment. (June 2022)

• Record Type: Journal Article
• Authors: Tunçer, Bige; Benita, Francisco
• Is Part Of: International journal of architectural computing. Volume 20:Number 2(2022)
• Page Start: 316
• Page End: 333
• Publication Date: 2022-06
• Subjects: Data-driven thinking -- urban sensing -- body reactions -- pedagogy -- design support; Architecture -- Data processing -- Periodicals; Architecture -- Informatique -- Périodiques; Virtual reality in architecture -- Periodicals; Computer-aided design -- Periodicals; Architecture -- Data processing; Periodicals; 720.2840285536
• DOI: 10.1177/14780771211025142
• Languages: English
• ISSNs: 1478-0771

Abstract

This article introduces a methodology to implement Data-driven Thinking in the context of urban design. We present the results of a case study based on a 7-day workshop with 10 participants with landscape design and architecture background. The goal of the workshop was to expose participants to Data-driven Thinking through experimental design, multi-sensor data collection, data analysis, visualization, and insight generation. We evaluate their learning experience in designing an experimental setup, collecting real-time immediate environmental and physiological body reactions data. Our results from the workshop show that participants increased their knowledge about measuring, visualizing and understanding data of the surrounding built environment.