Cozie: Methodology for the in-situ Collection of Indoor Occupant Comfort Data

Cozie: Methodology for the in-situ Collection of Indoor Occupant Comfort Data

In collaboration with Prof. Negin Narzarian and part of the international collaboration Project coolbit, we started working on a novel form of occupant comfort data collection, using a Fitbit smartwatch. We deployed an application in the wearble in the form of a simple clock-face where the user can state their comfort preference as a binary input “comfy” or “not comfy”.

Currently, this proof of concept has been launched with a small sample set of 15 users at the National University of Singapore. All data is collected in-situ in the user’s natural work environment.

Abstract submitted to CISBAT2019

[GitHub]