Abstract
In this paper, we propose a Space Inventory Management System (SIMS) framework that incorporates digital and analog data types to identify tangible space feature compositions as driving forces for user comfort and space choices. With a combination of real-time data from 3D stereo cameras and manually collected data points using a digitally advanced tool named ARCGIS PRO, the proposed framework get applied on a real case - An extension of a cafeteria area at the HL Lindner College of Business, USA. With the higher aim to synthesize different modern data streams and create a robust platform for extracting space features and their importance on behavioral outcomes, this article demonstrates the more significant opportunity of feeding human-centered information into the decision-making processes of future space designs.
Original language | English |
---|---|
Publication date | 2020 |
Number of pages | 7 |
Publication status | Published - 2020 |
Event | 4th International Workshop on Pervasive Smart Living Spaces - Austin, United States Duration: 23 Mar 2020 → 27 Mar 2020 |
Conference
Conference | 4th International Workshop on Pervasive Smart Living Spaces |
---|---|
Country | United States |
City | Austin |
Period | 23/03/2020 → 27/03/2020 |