Abstract
Sleep quality has a significant impact on human's physical and mental well-being. While there exist several definitions of what makes a good quantity and quality of sleep, such measures are not always in agreement with each other. Further, they often do not match with the human perception of a restorative sleep. In this paper, we investigate the correlation between objective sleep quality measurements - which can be sensed using wearable devices - and the sleeper's subjective - i.e., self-reported - sleep quality. We analyze the M2Sleep dataset, which contains sleep data of 16 participants over one month, and show that only few sensor-based measures (sleep duration, skin temperature, tonic component of electrodermal activity, acceleration skewness and kurtosis) and personality-based features (extroversion, agreeableness, PSQI score) correlate with self-reported sleep quality. These results may inform the design of future studies on sleep quality assessment.
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CITATION STYLE
Alecci, L., Abdalazim, N., Alchieri, L., Gashi, S., & Santini, S. (2023). On the mismatch between measured and perceived sleep quality. In UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2022 ACM International Symposium on Wearable Computers (pp. 148–152). Association for Computing Machinery, Inc. https://doi.org/10.1145/3544793.3563412
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