Schoedel, R.R.SchoedelPargent, F.F.PargentAu, Q.Q.AuVölkel, S. T.S. T.VölkelSchuwerk, T.T.SchuwerkBühner, M.M.BühnerStachl, ClemensClemensStachl2023-04-132023-04-132020https://www.alexandria.unisg.ch/handle/20.500.14171/11309010.1002/per.2258For decades, day–night patterns in behaviour have been investigated by asking people about their sleep–wake timing, their diurnal activity patterns, and their sleep duration. We demonstrate that the increasing digitalization of lifestyle offers new possibilities for research to investigate day–night patterns and related traits with the help of behavioural data. Using smartphone sensing, we collected in vivo data from 597 participants across several weeks and extracted behavioural day–night pattern indicators. Using this data, we explored three popular research topics. First, we focused on individual differences in day–night patterns by investigating whether ‘morning larks’ and ‘night owls’ manifest in smartphone–sensed behavioural indicators. Second, we examined whether personality traits are related to day–night patterns. Finally, exploring social jetlag, we investigated whether traits and work weekly day–night behaviours influence day–night patterns on weekends. Our findings highlight that behavioural data play an essential role in understanding daily routines and their relations to personality traits. We discuss how psychological research can integrate new behavioural approaches to study personality.enchronotypeday–night behaviour patternsdiurnal activitypersonalitysmartphone sensing datajournal article