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

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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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
Title of host publication 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Number of pages7
Publication date2020
ISBN (Electronic)978-1-7281-4716-1
Publication statusPublished - 2020
Event4th International Workshop on Pervasive Smart Living Spaces - Austin, United States
Duration: 23 Mar 202027 Mar 2020


Conference4th International Workshop on Pervasive Smart Living Spaces
Country/TerritoryUnited States


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