Introducing cozie

A fitbit platform for human comfort data collection

Download

Tailor your experiment via the fitbit mobile app

and design your flow

Query your data programatically
import requests

payload = {'experiment-id': 'debug', 'weeks': '30', 'user-id': 'Vivid Vervet'}
response = requests.get('https://ay1bwnlt74.execute-api.us-east-1.amazonaws.com/test/request/', params = payload)

print(response.content)

Free to use

public database

full functionality

Go Pro

private database

customised questions

Example Projects

  • Indoor Comfort Study in Singapore In this study fifteen users were given a smartwatch for one month and were prompted to give feedback on their thermal preferences. The data revealed a range of results from building anomalies, occupant behaviour, occupant personality clustering, and general feedback related to the building.

Designed with love by:

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Prageeth Jayathissa
Lead Developer
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Kairat Talantbekov
Front End
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Matias Quintana
Back End
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Tapeesh Sood
UI Design
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Clayton Miller
Project Coordinator
© 2019 budslab, National University of Singapore