Smartwatch application for subjective feedback data collection
A smartwatch application that collects momentary assessments of thermal, aural, lighting, and other subjective comfort parameters. The platform is being developed for researchers anywhere in the world to use a methodological component.
Paper | Code | Docs
- Nov 25, 2022: Our paper Personal comfort models based on a 6-month experiment using environmental parameters and data from wearables is available in the Indoor Air Journal.
- Jun 16, 2022: Our paper Smartwatch-based ecological momentary assessments for occupant wellness and privacy in buildings won the Best Poster Award at the Indoor Air 2022 conference. You can find the preprint here.
- Nov 17, 2021: Our paper Dataset: Longitudinal personal thermal comfort preference data in the wild was presented in SenSys’21 at the DATA workshop and is now available online.
- Nov 1, 2020: Our paper Differences In Thermal Comfort State Transitional Time Among Comfort Preference Groups is published in the 16th conference of the International Society of Indoor Air Quality & Climate (IndoorAir2020) proceedings
- Oct 2, 2020: Our paper Humans-as-a-Sensor for buildings: Intensive longitudinal indoor comfort models is published in MDPI Buildiungs journal
- Sep 8, 2020: We officially launch Cozie, a Fitbit smartwach open-source application for subjective data collection
- Jul 4, 2020: Our paper Humans-as-a-Sensor for buildings: Intensive longitudinal indoor comfort models is now available as preprint