Human-centered Information for Decision-Making Processes of Future Space Designs

Krister Jens, Anooshmita Das, Mikkel Baun Kjærgaard, Jay Sterling Gregg

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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 languageEnglish
Publication date2020
Number of pages7
Publication statusPublished - 2020
Event4th International Workshop on Pervasive Smart Living Spaces - Austin, United States
Duration: 23 Mar 202027 Mar 2020

Conference

Conference4th International Workshop on Pervasive Smart Living Spaces
CountryUnited States
CityAustin
Period23/03/202027/03/2020

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