* The main goal was to find connections between data from these devices (like heart rate and activity levels) and participants' subjective sleep quality ratings.
* Results showed moderate predictive accuracy (59%), but adjusting the scale's tolerance improved this to 92%, indicating the need for deeper analysis on how wearables and AI can enhance our understanding of sleep behavior.