Author
Listed:
- Veronica Martins Gnecco
(Department of Engineering, University of Perugia, 06125 Perugia, Italy
EAPLAB, CIRIAF “Interuniversity Research Center on Pollution and Environment Mauro Felli”, University of Perugia, 06125 Perugia, Italy)
- Anja Pogladič
(Department for Applied Social Sciences, Institute for Innovation and Development of University of Ljubljana, 1000 Ljubljana, Slovenia
Faculty of Arts, University of Ljubljana, 1000 Ljubljana, Slovenia)
- Agnese Chiucchiù
(EAPLAB, CIRIAF “Interuniversity Research Center on Pollution and Environment Mauro Felli”, University of Perugia, 06125 Perugia, Italy)
- Ilaria Pigliautile
(EAPLAB, CIRIAF “Interuniversity Research Center on Pollution and Environment Mauro Felli”, University of Perugia, 06125 Perugia, Italy)
- Sara Arko
(Department for Applied Social Sciences, Institute for Innovation and Development of University of Ljubljana, 1000 Ljubljana, Slovenia)
- Anna Laura Pisello
(Department of Engineering, University of Perugia, 06125 Perugia, Italy
EAPLAB, CIRIAF “Interuniversity Research Center on Pollution and Environment Mauro Felli”, University of Perugia, 06125 Perugia, Italy)
Abstract
In the context of the digital transition, office environments are increasingly shaped by flexibility, technological integration, and occupant-centered design. These transformations influence not only building operations but also the social dynamics and well-being of workers, thereby intersecting with the broader goals of socially sustainable design. To address this complexity, Building Management Systems (BMS) and Digital Twins must evolve from static automation to adaptive frameworks that recognize and respond to diverse workplace activities and social interactions. This study proposes a standardized taxonomy of office activities as a foundation for activity recognition and environment adaptation. A systematic literature review identified key activity categories and defining attributes, which were refined and validated through direct observations, diary logs, and semi-structured interviews in small, shared offices with open-plan workspaces. The resulting taxonomy comprises four main classes—Focused Work, Meetings, Shallow Work, and Resting—each defined by contextual attributes such as plannability, social interaction, number of participants, posture, modality, location, and duration. The framework supports the development of human-centric, situationally aware BMS capable of dynamically adjusting environmental conditions to promote comfort, well-being, and energy efficiency. By integrating user agendas and feedback, this approach contributes to more inclusive and socially sustainable work environments, aligning with the emerging paradigm of adaptive, human-oriented architecture.
Suggested Citation
Veronica Martins Gnecco & Anja Pogladič & Agnese Chiucchiù & Ilaria Pigliautile & Sara Arko & Anna Laura Pisello, 2025.
"Office Activity Taxonomy in the Digital Transition Era: Towards Situationally Aware Buildings,"
Sustainability, MDPI, vol. 17(24), pages 1-31, December.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:24:p:11376-:d:1821236
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