Digital Daily Cycles of Individuals

Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at night and are active through the day. Because we have evolved to function with this cycle, the circadian rhythm is deeply ingrained and even detectable at the biochemical level. However, within the broader da...

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Main Authors: Talayeh eAledavood, Sune eLehmann, Jari eSaramäki
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-10-01
Series:Frontiers in Physics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00073/full
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spelling doaj-53e39f6be58449198d98628edd400b4d2020-11-25T01:11:51ZengFrontiers Media S.A.Frontiers in Physics2296-424X2015-10-01310.3389/fphy.2015.00073160621Digital Daily Cycles of IndividualsTalayeh eAledavood0Sune eLehmann1Sune eLehmann2Jari eSaramäki3Aalto UniversityTechnical University of DenmarkThe Niels Bohr InstituteAalto UniversityHumans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at night and are active through the day. Because we have evolved to function with this cycle, the circadian rhythm is deeply ingrained and even detectable at the biochemical level. However, within the broader day-night pattern, there are individual differences: e.g., some of us are intrinsically morning-active, while others prefer evenings. In this article, we look at digital daily cycles: circadian patterns of activity viewed through the lens of auto-recorded data of communication and online activity. We begin at the aggregate level, discuss earlier results, and illustrate differences between population-level daily rhythms in different media. Then we move on to the individual level, and show that there is a strong individual-level variation beyond averages: individuals typically have their distinctive daily pattern that persists in time. We conclude by discussing the driving forces behind these signature daily patterns, from personal traits (morningness/eveningness) to variation in activity level and external constraints, and outline possibilities for future research.http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00073/fullindividual differencescircadian rhythmsMobile phonesDigital phenotypingelectronic communication records
collection DOAJ
language English
format Article
sources DOAJ
author Talayeh eAledavood
Sune eLehmann
Sune eLehmann
Jari eSaramäki
spellingShingle Talayeh eAledavood
Sune eLehmann
Sune eLehmann
Jari eSaramäki
Digital Daily Cycles of Individuals
Frontiers in Physics
individual differences
circadian rhythms
Mobile phones
Digital phenotyping
electronic communication records
author_facet Talayeh eAledavood
Sune eLehmann
Sune eLehmann
Jari eSaramäki
author_sort Talayeh eAledavood
title Digital Daily Cycles of Individuals
title_short Digital Daily Cycles of Individuals
title_full Digital Daily Cycles of Individuals
title_fullStr Digital Daily Cycles of Individuals
title_full_unstemmed Digital Daily Cycles of Individuals
title_sort digital daily cycles of individuals
publisher Frontiers Media S.A.
series Frontiers in Physics
issn 2296-424X
publishDate 2015-10-01
description Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at night and are active through the day. Because we have evolved to function with this cycle, the circadian rhythm is deeply ingrained and even detectable at the biochemical level. However, within the broader day-night pattern, there are individual differences: e.g., some of us are intrinsically morning-active, while others prefer evenings. In this article, we look at digital daily cycles: circadian patterns of activity viewed through the lens of auto-recorded data of communication and online activity. We begin at the aggregate level, discuss earlier results, and illustrate differences between population-level daily rhythms in different media. Then we move on to the individual level, and show that there is a strong individual-level variation beyond averages: individuals typically have their distinctive daily pattern that persists in time. We conclude by discussing the driving forces behind these signature daily patterns, from personal traits (morningness/eveningness) to variation in activity level and external constraints, and outline possibilities for future research.
topic individual differences
circadian rhythms
Mobile phones
Digital phenotyping
electronic communication records
url http://journal.frontiersin.org/Journal/10.3389/fphy.2015.00073/full
work_keys_str_mv AT talayehealedavood digitaldailycyclesofindividuals
AT suneelehmann digitaldailycyclesofindividuals
AT suneelehmann digitaldailycyclesofindividuals
AT jariesaramaki digitaldailycyclesofindividuals
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