Demonstrating SleepGuru: Personalized Sleep Planning System for Real-life Actionability and Negotiability
- Title
- Demonstrating SleepGuru: Personalized Sleep Planning System for Real-life Actionability and Negotiability
- Authors
- JUNGEUN, LEE; Hyojin Ju; SUNGNAM, KIM; Minki Cheon; JaeEun Lee; HWANG, INSEOK
- Date Issued
- 2022-10-31
- Publisher
- ACM
- Abstract
- Widely-accepted sleep guidelines advise people about regular bedtimes and sleep hygiene. However, these standard guidelines are often little applicable to our real-life full of duty and responsibility. We propose SleepGuru, an individually actionable sleep planning system featuring one’s real-life compatibility and extended forecast. Leveraging wearable activity trackers and commercial mobile calendars, SleepGuru computes individually actionable multi-day sleep schedules that optimize the sleep timings and the user’s alertness levels subject to one’s real-life constraints. SleepGuru provides individual predictions and adjustability through a mobile-friendly user interface backed by a cloud-side optimization engine.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/114953
- Article Type
- Conference
- Citation
- ACM UIST 2022 (The 35th Annual ACM Symposium on User Interface Software and Technology), 2022-10-31
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- There are no files associated with this item.
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