Abstract

Which suggestions for behavioral modifications, based on mathematical models, are most likely to be followed in the real world? We address this question in the context of human circadian rhythms. Jet lag is a consequence of the misalignment of the body’s internal circadian (~24-hour) clock during an adjustment to a new schedule. Light is the clock’s primary synchronizer. Previous research has used mathematical models to compute light schedules that shift the circadian clock to a new time zone as quickly as possible. How users adjust their behavior when provided with these optimal schedules remains an open question. Here, we report data collected by wearables from more than 100 travelers as they cross time zones using a smartphone app, Entrain. We find that people rarely follow the optimal schedules generated through mathematical modeling entirely, but travelers who better followed the optimal schedules reported more positive moods after their trips. Using the data collected, we improve the optimal schedule predictions to accommodate real-world constraints. We also develop a scheduling algorithm that allows for the computation of approximately optimal schedules "on-the-fly" in response to disruptions. User burnout may not be critically important as long as the first parts of a schedule are followed. These results represent a crucial improvement in making the theoretical results of past work viable for practical use and show how theoretical predictions based on known human physiology can be efficiently used in real-world settings.

Highlights

  • Human internal timekeeping is governed by an internal circadian clock located in the suprachiasmatic nuclei (SCN) [1,2]

  • We consider the practicality of schedules previously proposed to overcome jet lag in minimal time [10]

  • These schedules were presented to travelers in a smartphone app Entrain that recorded users’ activity, which could determine how well the users followed the schedule

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Summary

Introduction

Human internal timekeeping is governed by an internal circadian clock located in the suprachiasmatic nuclei (SCN) [1,2]. Many observed circadian phenomena, including the clock’s ability to both phase advance and delay in response to light, can be explained through the effect of light on the SCN, and these physiological phenomena have been codified in mathematical models [4,5,6,7]. Using these models and optimal control techniques, we can compute optimal schedules to phase shift the clock under given constraints. Usefulness is crucial, as mathematically optimal recommendations can be difficult or nearly impossible to follow in real life

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