TY - JOUR
T1 - Inferring circadian rhythms of cognitive performance in everyday life
AU - Tag, Benjamin
AU - Dingler, Tilman
AU - Vargo, Andrew W.
AU - Kostakos, Vassilis
N1 - Funding Information:
This work was supported in part by the Future and Emerging Technologies (FET) programme within the 7th Framework Programme for Research of the European Commission under FET Grant 612933 (RECALL), and by JST (Saki-gake/Presto) under Grant JP-MJPR16D4.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020
Y1 - 2020
N2 - Physical, mental, and behavioral processes of most living beings underlie cyclic changes, mainly governed by the day-night cycle. Investigations of these circadian rhythms have traditionally required constrained settings and invasive methods, such as repetitive blood testing and testing in sleep laboratories. Recent developments in pervasive technology, e.g., the proliferation of smartphones in our everyday lives, allow us to develop less intrusive ways to infer circadian rhythmicity in everyday settings. In this article, we present an overview of the current state of research, describe a mobile toolkit for collecting ground truth data on cognitive state fluctuations, and detail the implementation of a wearable system to unobtrusively detect alertness changes in the wild. Understanding and monitoring circadian rhythms will lead to the development of interventions to support mental health, physical health, and will ease the negative consequences of time shifts inflicted by jet lag or shift-work.
AB - Physical, mental, and behavioral processes of most living beings underlie cyclic changes, mainly governed by the day-night cycle. Investigations of these circadian rhythms have traditionally required constrained settings and invasive methods, such as repetitive blood testing and testing in sleep laboratories. Recent developments in pervasive technology, e.g., the proliferation of smartphones in our everyday lives, allow us to develop less intrusive ways to infer circadian rhythmicity in everyday settings. In this article, we present an overview of the current state of research, describe a mobile toolkit for collecting ground truth data on cognitive state fluctuations, and detail the implementation of a wearable system to unobtrusively detect alertness changes in the wild. Understanding and monitoring circadian rhythms will lead to the development of interventions to support mental health, physical health, and will ease the negative consequences of time shifts inflicted by jet lag or shift-work.
UR - http://www.scopus.com/inward/record.url?scp=85086726630&partnerID=8YFLogxK
U2 - 10.1109/MPRV.2020.2994914
DO - 10.1109/MPRV.2020.2994914
M3 - Article
AN - SCOPUS:85086726630
SN - 1536-1268
VL - 19
SP - 14
EP - 23
JO - IEEE Pervasive Computing
JF - IEEE Pervasive Computing
IS - 3
ER -