Abstract

Smartphones are an integral part of our daily life, bringing both positive and negative impacts with them. Recent studies suggest that extensive and untimely smartphone usage directly affects circadian rhythm, i.e. alertness-sleepiness cycle. In this paper, we analyse sleep quality data collected through a wearable ring together with the smartphone interaction in bed just before falling asleep. First, we show that the sleep-tracking devices measuring sleep quality and quantity are also feasible to be used for researching circadian cycles. Second, we analyse the statistical relationships between in-bed smartphone interaction and different sleep metrics, out of which some are more prominent for future use and some present interesting negative results. Third, we present three baseline prediction models to predict sleep quality and circadian cycle based on smartphone app usage, with accuracy ranging from 31% to 67%.