**6. Conclusions**

The current research demonstrated how POE techniques based on the digital trail can be employed to design a methodology for sustainable HCD Coliving spaces.

The infrastructure available in highly digitalized IOT-based buildings, like colivings, has proven to be a valuable resource to assess performance of spaces and behavioral patterns based on the already existing IT devices, without the need to install additional sensors, regarding the expected learnings.

The three SPs showed major differences in the use of spaces and enabled a comparative analysis of the use of spaces. The different data sources provided inputs to enable identification of the level of occupancy of the different spaces, average number of visitors and overall popularity of the spaces, differentiating between most occupied spaces and less occupied.

Data sources also provided insights into energy consumption and activities implemented in each space according to data consumption patterns.

A home is not a roof—walls and doors are physical divisions of space. This paper proved buildings go beyond the physical skeleton and shell, and strongly rely on digital networks and experience. The developed methodology and the use of SPs was essential for sustainable HCD interpretation of buildings to assess not only the behavioral patterns of the users but also the interaction of the building with the environment.

**Author Contributions:** Conceptualization, A.R. and A.G.-S.; methodology, A.R.; software, M.A. and C.L; validation, A.G.-S., M.A. and C.L.; formal analysis, A.R. and J.D.P.; investigation, A.R.; C.L.; resources, M.A.; data curation, A.R.; writing—original draft preparation, A.R.; writing—review and editing, A.R., A.G.-S., C.L.; M.A. and J.D.P. visualization, A.R.; supervision, A.G.-S.; project administration, A.G.-S. All authors have read and agreed to the published version of the manuscript.

**Funding:** This research received no external funding.

**Informed Consent Statement:** Informed consent was obtained from all subjects involved in the study.

**Data Availability Statement:** The data presented in this study are available on request from the corresponding author due to privacy.

**Acknowledgments:** The researchers of this project thank Urban Campus for their collaboration and access to the data as well as the community of colivers for their feedback and collaboration.

**Conflicts of Interest:** The authors declare no conflict of interests.
