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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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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