SleepGuru: Personalized Sleep Planning System for Real-life Actionability and Negotiability

要旨

Widely-accepted sleep guidelines advise regular bedtimes and sleep hygiene. An individual's adherence is often viewed as a matter of self-regulation and anti-procrastination. We pose a question from a different perspective: What if it comes to a matter of one's social or professional duty that mandates irregular daily life, making it incompatible with the premise of standard guidelines? We propose SleepGuru, an individually actionable sleep planning system featuring one's real-life compatibility and extended forecast. Adopting theories on sleep physiology, SleepGuru builds a personalized predictor on the progression of the user's sleep pressure over a course of upcoming schedules and past activities sourced from her online calendar and wearable fitness tracker. Then, SleepGuru service provides individually actionable multi-day sleep schedules which respect the user's inevitable real-life irregularities while regulating her week-long sleep pressure. We elaborate on the underlying physiological principles and mathematical models, followed by 3-stage study and deployment. We develop a mobile user interface providing individual predictions and adjustability backed by cloud-side optimization. We deploy SleepGuru in-the-wild to 20 users for 8 weeks, where we found positive effects of SleepGuru in sleep quality, compliance rate, sleep efficiency, alertness, long-term followability, and so on.

著者
Jungeun Lee
POSTECH, Pohang, Korea, Republic of
Sungnam Kim
POSTECH, Pohang, Korea, Republic of
Minki Cheon
POSTECH, Pohang, Korea, Republic of
Hyojin Ju
POSTECH, Pohang, Korea, Republic of
JaeEun Lee
University of Illinois at Urbana-Champaign, Champaign, Illinois, United States
Inseok Hwang
POSTECH, Pohang, Korea, Republic of
論文URL

https://doi.org/10.1145/3526113.3545709

会議: UIST 2022

The ACM Symposium on User Interface Software and Technology

セッション: Mind and Body

4 件の発表
2022-11-01 20:00:00
2022-11-01 21:00:00