  Collecting feedback from people in indoor and outdoor environments is
traditionally challenging and complex in a reliable, longitudinal, and
non-intrusive way. This paper introduces Cozie Apple, an open-source mobile and
smartwatch application for iOS devices. This platform allows people to complete
a watch-based micro-survey and provide real-time feedback about environmental
conditions via their Apple Watch. It leverages the inbuilt sensors of a
smartwatch to collect physiological (e.g., heart rate, activity) and
environmental (sound level) data. This paper outlines data collected from 48
research participants who used the platform to report perceptions of
urban-scale environmental comfort (noise and thermal) and contextual factors
such as who they were with and what activity they were doing. The results of
2,400 micro-surveys across various urban settings are illustrated in this paper
showing the variability of noise-related distractions, thermal comfort, and
associated context. The results show people experience at least a little noise
distraction 58% of the time, with people talking being the most common reason
(46%). This effort is novel due to its focus on spatial and temporal
scalability and collection of noise, distraction, and associated contextual
information. These data set the stage for larger deployments, deeper analysis,
and more helpful prediction models toward better understanding the occupants'
needs and perceptions. These innovations could result in real-time control
signals to building systems or nudges for people to change their behavior.
