research-article

Towards circadian computing: "early to bed and early to rise" makes some of us unhealthy and sleep deprived

Authors:

Saeed Abdullah,

Elizabeth L. Murnane,

Tanzeem ChoudhuryAuthors Info & Claims

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 673 - 684

https://doi.org/10.1145/2632048.2632100

Published: 13 September 2014 Publication History

Abstract

We often think of ourselves as individuals with steady capabilities. However, converging strands of research indicate that this is not the case. Our biochemistry varies significantly over the course of a 24 hour period. Consequently our levels of alertness, productivity, physical activity, and even sensitivity to pain fluctuate throughout the day. This offers a considerable opportunity for the UbiComp community to identify novel measurements and interventions that can leverage these daily variations. To illustrate this potential, we present results from an empirical study with 9 participants over 97 days investigating whether such variations manifest in low-level smartphone use, focusing on daily rhythms related to sleep. Our findings demonstrate that phone usage patterns can be used to detect and predict individual daily variations indicative of temporal preference, sleep duration, and deprivation. We also identify opportunities and challenges for measuring and enhancing well-being using these simple and effective markers of circadian rhythms.

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Cited By

Sidra Ilyas Alia Asmat Muhammad Iqbal Naeem Haleema Khatoon (2024)AM I OVER-SLEEPER? OVERSLEEPING AND COGNITIVE FUNCTIONING AMONG UNIVERSITY STUDENTSThe Mind-Journal of Psychology10.36755/themind.v2i1.942:1(13-29)Online publication date: 11-May-2024
https://doi.org/10.36755/themind.v2i1.94
Alamoudi DNabney ICrawley E(2024)Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep DisturbancesSensors10.3390/s2403072224:3(722)Online publication date: 23-Jan-2024
https://doi.org/10.3390/s24030722
Ahmed MHasan TIslam SAhmed N(2024)Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide StudyJMIR Research Protocols10.2196/5154013(e51540)Online publication date: 24-Apr-2024
https://doi.org/10.2196/51540
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Index Terms

Towards circadian computing: "early to bed and early to rise" makes some of us unhealthy and sleep deprived
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics

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cover image ACM Conferences

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2014

973 pages

ISBN:9781450329682

DOI:10.1145/2632048

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Copyright © 2014 ACM.

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Published: 13 September 2014

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https://doi.org/10.36755/themind.v2i1.94
Alamoudi DNabney ICrawley E(2024)Evaluating the Effectiveness of the SleepTracker App for Detecting Anxiety- and Depression-Related Sleep DisturbancesSensors10.3390/s2403072224:3(722)Online publication date: 23-Jan-2024
https://doi.org/10.3390/s24030722
Ahmed MHasan TIslam SAhmed N(2024)Investigating Rhythmicity in App Usage to Predict Depressive Symptoms: Protocol for Personalized Framework Development and Validation Through a Countrywide StudyJMIR Research Protocols10.2196/5154013(e51540)Online publication date: 24-Apr-2024
https://doi.org/10.2196/51540
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