ArticleiScience2021
Large cognitive fluctuations surrounding sleep in daily living.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 22 citations in OpenAlex.
- Keying Into Cognition: Temporal Smoothing of Smartphone Typing Behaviors for Passive Assessment of Processing Speed and Executive Function in Individuals With Mood Disorders.Cognitive computation · 2026Article
- Age-related behavioral resilience in smartphone touchscreen interaction dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Examining Human-Smartphone Interaction as a Proxy for Circadian Rhythm in Patients With Insomnia: Cross-Sectional Study.Journal of medical Internet research · 2023Article
- Smartphone Keyboard Interaction Monitoring as an Unobtrusive Method to Approximate Rest-Activity Patterns: Experience Sampling Study Investigating Interindividual and Metric-Specific Variations.Journal of medical Internet research · 2023Article
- Common multi-day rhythms in smartphone behavior.NPJ digital medicine · 2023Article
- Spontaneous motor tempo over the course of a week: the role of the time of the day, chronotype, and arousal.Psychological research · 2023Article
- A model of healthy aging based on smartphone interactions reveals advanced behavioral age in neurological disease.iScience · 2022Article
- Temporal clusters of age-related behavioral alterations captured in smartphone touchscreen interactions.iScience · 2022Article
- Disentangling personalized treatment effects from "time-of-the-day" confounding in mobile health studies.PloS one · 2022Article
- Artificial neural network trained on smartphone behavior can trace epileptiform activity in epilepsy.iScience · 2021Article
- Spontaneous Motor Tempo: Investigating Psychological, Chronobiological, and Demographic Factors in a Large-Scale Online Tapping Experiment.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive output and physical activity levels fluctuate surrounding sleep. The ubiquitous digitization of behavior via smartphones is a promising avenue for addressing how these fluctuations occur in daily living. Here, we logged smartphone touchscreen interactions to proxy cognitive fluctuations and contrasted these to physical activity patterns logged on wrist-worn actigraphy. We found that both cognitive and physical activities were dominated by diurnal (∼24 h) and infra-radian (∼7 days) rhythms. The proxy measures of cognitive performance-tapping speed, unlocking speed, and app locating speed-contained lower-powered diurnal rhythm than physical activity. The difference between cognitive and physical activity was vivid during bedtime as people continued to interact with their smartphones at physical rest. The cognitive performance measures in this period were worse than those in the hour before or after bedtime. We suggest that the rhythms underlying cognitive activity in the real world are distinct from those underlying physical activity, and this discord may be a hallmark of modern human behavior.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.