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.
|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||4th International Workshop on Pervasive Smart Living Spaces|
|Period||23/03/2020 → 27/03/2020|