SpaceSense: Exploring the Use of Sensors Data to Understand Occupants' Behavior in Heterogeneous Study Space Types

Sensor technology in buildings aims to reduce costs and enhance resource efficiency. This study employed a mixed-methods approach, utilizing both qualitative and quantitative data, to investigate how people use various open-design spaces in a new university building. Initial workshops and interviews with students and facility managers clarified their preferences and operational needs. The sensor data provided valuable insights into student space usage, improving communication between students and facility managers by offering a clearer understanding of student behaviors and needs, which enhances the ability of facility managers to make more informed decisions. Follow-up interviews with facility managers provided additional perspectives on the effectiveness of sensor-based solutions in educational settings. The study identified patterns in space usage and discovered opportunities for improving educational facilities. It emphasizes the importance of monitoring both space usage and environmental conditions and highlights the potential to support more informed decision-making in facility management. Future research will explore predictive modeling to better manage space and expand environmental metrics to further enhance educational environments, promote sustainability, and contribute to sustainable societies.

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Publication Details

Journal
ACM Journal on Computing and Sustainable Societies
Published
2025-05-09
DOI
https://doi.org/10.1145/3735143
Citations
2
Primary Topic
Facilities and Workplace Management
Type
article
Field-Weighted Citation Impact
4.88

Funders

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article

SpaceSense: Exploring the Use of Sensors Data to Understand Occupants' Behavior in Heterogeneous Study Space Types

Omer Rana, Charith Perera, Wael Alsafery
2 citations
ACM Journal on Computing and Sustainable Societies
Facilities and Workplace Management
4.88
article

SpaceSense: Exploring the Use of Sensors Data to Understand Occupants' Behavior in Heterogeneous Study Space Types

Omer Rana, Charith Perera, Wael Alsafery
article en
2 citations

Abstract

Sensor technology in buildings aims to reduce costs and enhance resource efficiency. This study employed a mixed-methods approach, utilizing both qualitative and quantitative data, to investigate how people use various open-design spaces in a new university building. Initial workshops and interviews with students and facility managers clarified their preferences and operational needs. The sensor data provided valuable insights into student space usage, improving communication between students and facility managers by offering a clearer understanding of student behaviors and needs, which enhances the ability of facility managers to make more informed decisions. Follow-up interviews with facility managers provided additional perspectives on the effectiveness of sensor-based solutions in educational settings. The study identified patterns in space usage and discovered opportunities for improving educational facilities. It emphasizes the importance of monitoring both space usage and environmental conditions and highlights the potential to support more informed decision-making in facility management. Future research will explore predictive modeling to better manage space and expand environmental metrics to further enhance educational environments, promote sustainability, and contribute to sustainable societies.

ACM Journal on Computing and Sustainable SocietiesVol. 3(3)
Cardiff University (GB)
GCHQ
Openalex Percentile: Top 6%
Facilities and Workplace Management
4.88
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