Sleep Patterns and Sleep Alignment in Remote Teams during COVID-19

Author:

Breideband Thomas1,Martinez Gonzalo J.2,Talkad Sukumar Poorna3,Caruso Megan4,D'Mello Sidney4,Striegel Aaron D.5,Mark Gloria1

Affiliation:

1. University of California, Irvine, Irvine, CA, USA

2. University of Notre Dame, Notre Dame, IN, USA

3. New York University, New York, NY, USA

4. University of Colorado Boulder, Boulder, CO, USA

5. University of Notre Dame, South Bend, IN, USA

Abstract

Working remotely from home during the COVID-19 pandemic has resulted in significant shifts and disruptions in the personal and work lives of millions of information workers and their teams. We examined how sleep patterns---an important component of mental and physical health---relates to teamwork. We used wearable sensing and daily questionnaires to examine sleep patterns, affect, and perceptions of teamwork in 71 information workers from 22 teams over a ten-week period. Participants reported delays in sleep onset and offset as well as longer sleep duration during the pandemic. A similar shift was found in work schedules, though total work hours did not change significantly. Surprisingly, we found that more sleep was negatively related to positive affect, perceptions of teamwork, and perceptions of team productivity. However, a greater misalignment in the sleep patterns of members in a team predicted positive affect and teamwork after accounting for individual differences in sleep preferences. A follow-up analysis of exit interviews with participants revealed team-working conventions and collaborative mindsets as prominent themes that might help explain some of the ways that misalignment in sleep can affect teamwork. We discuss implications of sleep and sleep misalignment in work-from-home contexts with an eye towards leveraging sleep data to facilitate remote teamwork.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Reference135 articles.

1. Accessed: 04--14--2021. Newly Remote Companies. https://github.com/arjunmadgavkar/Newly-Remote-Companies/blob/master/List.md Accessed: 04--14--2021. Newly Remote Companies. https://github.com/arjunmadgavkar/Newly-Remote-Companies/blob/master/List.md

2. Accessed: 10--20--2021. More than half of employees globally would quit their jobs if not provided post-pandemic flexibility EY survey finds. https://www.ey.com/en_gl/news/2021/05/more-than-half-of-employees-globally-would-quit-their-jobs-if-not-provided-post-pandemic-flexibility-ey-survey-finds Accessed: 10--20--2021. More than half of employees globally would quit their jobs if not provided post-pandemic flexibility EY survey finds. https://www.ey.com/en_gl/news/2021/05/more-than-half-of-employees-globally-would-quit-their-jobs-if-not-provided-post-pandemic-flexibility-ey-survey-finds

3. Par J. Agerfalk , Brian Fitzgerald , Helena Holmstrom Olsson , Brian Lings, Bjorn Lundell, and Eoin Ó Conchúir. 2005 . A framework for considering opportunities and threats in distributed software development. (2005). Publisher: Austrian Computer Society. Par J. Agerfalk, Brian Fitzgerald, Helena Holmstrom Olsson, Brian Lings, Bjorn Lundell, and Eoin Ó Conchúir. 2005. A framework for considering opportunities and threats in distributed software development. (2005). Publisher: Austrian Computer Society.

4. Global Workplace Analytics. 2020. Work-at-home after covid-19-our forecast. Global Workplace Analytics. 2020. Work-at-home after covid-19-our forecast.

5. Flexible and compressed workweek schedules: A meta-analysis of their effects on work-related criteria.

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