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.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sleep during COVID-19 pandemic: A Longitudinal Observational Study Combining Multisensor Data with Questionnaires (Preprint);2023-10-05

2. Remote Persons Are Closer Than They Appear: Home, Team and a Lockdown;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

3. Workplace Rhythm Variability and Emotional Distress in Information Workers;Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3