Alsafery, Wael, Lannon, Simon ORCID: https://orcid.org/0000-0003-4677-7184, Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 and Perera, Charith
2026.
EcoCube: An IoT-driven cube for environmental awareness and human-building interaction.
Energy and Buildings
370
(Part B)
, 118120.
10.1016/j.enbuild.2026.118120
|
Preview |
PDF
- Accepted Post-Print Version
Available under License Creative Commons Attribution. Download (9MB) | Preview |
Abstract
Efficient communication between building occupants and facility managers is essential for optimizing space usage, improving user satisfaction, and promoting sustainable practices. This study investigates the effectiveness of the Internet of Things (IoT)-enabled EcoCube device in addressing communication challenges within open design study spaces in a university setting, aiming to create more responsive and adaptive built environments. By integrating principles of social computing and IoT-based sensing and feedback mechanisms, the EcoCube enables students to report issues, share feedback on space preferences, and actively engage in building management processes. Findings reveal differences in satisfaction levels across various study spaces and environmental conditions, emphasizing the need for adaptable solutions to accommodate diverse user needs. Key challenges include improving communication channels and enhancing space efficiency to support sustainability goals. Integrating direct communication features and leveraging occupancy data for real-time management are recommended to advance building sustainability and user satisfaction. As a contribution to IoT research in the context of HBI, this study highlights the EcoCube’s potential to foster collaborative building management, enhance user experience, and support sustainable operations through innovative technology and user-centered design.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Architecture Schools > Computational & Mathematical Sciences |
| Additional Information: | RRS policy applied |
| Publisher: | Elsevier |
| ISSN: | 0378-7788 |
| Date of First Compliant Deposit: | 24 August 2026 |
| Last Modified: | 24 Aug 2026 14:15 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/189138 |
Actions (repository staff only)
![]() |
Edit Item |





Dimensions
Dimensions