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Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers

Published: 05 July 2022 Publication History

Abstract

Although some research highlights the benefits of behavioral routines for individual functioning, other research indicates that routines can reflect an individual's inflexibility and lower well-being. Given conflicting accounts on the benefits of routine, research is needed to examine how routineness versus flexibility in health-related behaviors correspond to personality traits, health, and occupational outcomes. We adopt a nonlinear dynamical systems approach to understanding routine using automatically sensed health-related behaviors collected from 483 information workers over a roughly two-month period. We utilized multidimensional recurrence quantification analysis to derive a measure of health regularity (routineness) from measures of daily step count, sleep duration, and heart rate variability (which relates to stress). Participants also completed measures of personality, health, and job performance at the start of the study and for two months via Ecological Momentary Assessments. Greater regularity was associated with higher neuroticism, lower agreeableness, and greater interpersonal and organizational deviance. Importantly, these results were independent of overall levels of each health indicator in addition to demographics. It is often believed that routine is desirable, but the results suggest that associations with routineness are more nuanced, and wearable sensors can provide insights into beneficial health behaviors.

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  1. Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers

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      cover image ACM Transactions on Computing for Healthcare
      ACM Transactions on Computing for Healthcare  Volume 3, Issue 3
      July 2022
      251 pages
      EISSN:2637-8051
      DOI:10.1145/3514183
      Issue’s Table of Contents

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 05 July 2022
      Online AM: 15 March 2022
      Accepted: 01 January 2022
      Revised: 01 October 2021
      Received: 01 November 2020
      Published in HEALTH Volume 3, Issue 3

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      Author Tags

      1. Multimodal
      2. nonlinear dynamics
      3. multidimensional recurrence quantification analysis
      4. routine
      5. sensor technology
      6. workplace effectiveness

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      • Office of the Director of National Intelligence (ODNI)
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      • National Science Foundation

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      • (2023)A complex systems approach to analyzing pedagogical agents’ scaffolding of self-regulated learning within an intelligent tutoring systemMetacognition and Learning10.1007/s11409-023-09346-x18:3(659-691)Online publication date: 19-May-2023
      • (2023)Measuring Multidimensional Facets of SRL Engagement with Multimodal DataUnobtrusive Observations of Learning in Digital Environments10.1007/978-3-031-30992-2_10(141-173)Online publication date: 14-Jun-2023

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