Common multi-day rhythms in smartphone behavior
Abstract The idea that abnormal human activities follow multi-day rhythms is found in ancient beliefs on the moon to modern clinical observations in epilepsy and mood disorders. To explore multi-day rhythms in healthy human behavior our analysis includes over 300 million smartphone touchscreen inter...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-03-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-023-00799-7 |
| _version_ | 1827608265861627904 |
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| author | Enea Ceolini Arko Ghosh |
| author_facet | Enea Ceolini Arko Ghosh |
| author_sort | Enea Ceolini |
| collection | DOAJ |
| description | Abstract The idea that abnormal human activities follow multi-day rhythms is found in ancient beliefs on the moon to modern clinical observations in epilepsy and mood disorders. To explore multi-day rhythms in healthy human behavior our analysis includes over 300 million smartphone touchscreen interactions logging up to 2 years of day-to-day activities (N401 subjects). At the level of each individual, we find a complex expression of multi-day rhythms where the rhythms occur scattered across diverse smartphone behaviors. With non-negative matrix factorization, we extract the scattered rhythms to reveal periods ranging from 7 to 52 days – cutting across age and gender. The rhythms are likely free-running – instead of being ubiquitously driven by the moon – as they did not show broad population-level synchronization even though the sampled population lived in northern Europe. We propose that multi-day rhythms are a common trait, but their consequences are uniquely experienced in day-to-day behavior. |
| first_indexed | 2024-03-09T07:08:33Z |
| format | Article |
| id | doaj.art-ad3d1ed0fae9419cac666f44e1dba75c |
| institution | Directory Open Access Journal |
| issn | 2398-6352 |
| language | English |
| last_indexed | 2024-03-09T07:08:33Z |
| publishDate | 2023-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj.art-ad3d1ed0fae9419cac666f44e1dba75c2023-12-03T09:20:43ZengNature Portfolionpj Digital Medicine2398-63522023-03-01611910.1038/s41746-023-00799-7Common multi-day rhythms in smartphone behaviorEnea Ceolini0Arko Ghosh1Cognitive Psychology Unit, Institute of Psychology, Leiden UniversityCognitive Psychology Unit, Institute of Psychology, Leiden UniversityAbstract The idea that abnormal human activities follow multi-day rhythms is found in ancient beliefs on the moon to modern clinical observations in epilepsy and mood disorders. To explore multi-day rhythms in healthy human behavior our analysis includes over 300 million smartphone touchscreen interactions logging up to 2 years of day-to-day activities (N401 subjects). At the level of each individual, we find a complex expression of multi-day rhythms where the rhythms occur scattered across diverse smartphone behaviors. With non-negative matrix factorization, we extract the scattered rhythms to reveal periods ranging from 7 to 52 days – cutting across age and gender. The rhythms are likely free-running – instead of being ubiquitously driven by the moon – as they did not show broad population-level synchronization even though the sampled population lived in northern Europe. We propose that multi-day rhythms are a common trait, but their consequences are uniquely experienced in day-to-day behavior.https://doi.org/10.1038/s41746-023-00799-7 |
| spellingShingle | Enea Ceolini Arko Ghosh Common multi-day rhythms in smartphone behavior npj Digital Medicine |
| title | Common multi-day rhythms in smartphone behavior |
| title_full | Common multi-day rhythms in smartphone behavior |
| title_fullStr | Common multi-day rhythms in smartphone behavior |
| title_full_unstemmed | Common multi-day rhythms in smartphone behavior |
| title_short | Common multi-day rhythms in smartphone behavior |
| title_sort | common multi day rhythms in smartphone behavior |
| url | https://doi.org/10.1038/s41746-023-00799-7 |
| work_keys_str_mv | AT eneaceolini commonmultidayrhythmsinsmartphonebehavior AT arkoghosh commonmultidayrhythmsinsmartphonebehavior |