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Workplace Rhythm Variability and Emotional Distress in Information Workers

Published: 19 April 2023 Publication History

Abstract

Regularity in daily activities has been linked to positive well-being outcomes, but previous studies have mainly focused on clinical populations and traditional daily activities such as sleep and exercise. This research extends prior work by examining the regularity of both self-reported and digital activities of 49 information workers in a 4-week naturalistic study. Our findings suggest that greater variability in self-reported mood, job demands, lunch time, and sleep quality may be associated with increased stress, anxiety, and depression. However, when it comes to digital activity-based measures, greater variability in rhythm is associated with reduced emotional distress. This study expands our understanding of workers and the potential insights that can be gained from analyzing technology interactions and well-being.

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References

[1]
Muhammad Johan Alibasa and Rafael A. Calvo. 2019. Supporting Mood Introspection from Digital Footprints. In 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE. https://doi.org/10.1109/acii.2019.8925436
[2]
Mary Jean Amon, Stephen Mattingly, Aaron Necaise, Gloria Mark, Nitesh Chawla, Anind Dey, and Sidney D'mello. 2022. Flexibility Versus Routineness in Multimodal Health Indicators: A Sensor-based Longitudinal in Situ Study of Information Workers. ACM Transactions on Computing for Healthcare 3, 3 (jul 2022), 1–27. https://doi.org/10.1145/3514259
[3]
Katherine R Arlinghaus and Craig A Johnston. 2019. The importance of creating habits and routine. American journal of lifestyle medicine 13, 2 (2019), 142–144.
[4]
Arnold B. Bakker and Evangelia Demerouti. 2007. The Job Demands-Resources model: state of the art. Journal of Managerial Psychology 22, 3 (April 2007), 309–328. https://doi.org/10.1108/02683940710733115
[5]
Oliver Brdiczka, Norman Makoto Su, and Bo Begole. 2009. Using Temporal Patterns (t-Patterns) to Derive Stress Factors of Routine Tasks. In CHI ’09 Extended Abstracts on Human Factors in Computing Systems (Boston, MA, USA) (CHI EA ’09). Association for Computing Machinery, New York, NY, USA, 4081–4086. https://doi.org/10.1145/1520340.1520621
[6]
Thomas Breideband, Gonzalo J. Martinez, Poorna Talkad Sukumar, Megan Caruso, Sidney D’Mello, Aaron D. Striegel, and Gloria Mark. 2022. Sleep Patterns and Sleep Alignment in Remote Teams during COVID-19. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 326 (nov 2022), 31 pages. https://doi.org/10.1145/3555217
[7]
Rafael A Calvo and Dorian Peters. 2014. Positive Computing: Technology for Wellbeing and Human Potential. The MIT Press.
[8]
Vedant Das Swain, Koustuv Saha, Hemang Rajvanshy, Anusha Sirigiri, Julie M Gregg, Suwen Lin, Gonzalo J Martinez, Stephen M Mattingly, Shayan Mirjafari, Raghu Mulukutla, 2019. A multisensor person-centered approach to understand the role of daily activities in job performance with organizational personas. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 4 (2019), 1–27.
[9]
Evangelia Demerouti, Arnold B. Bakker, Friedhelm Nachreiner, and Wilmar B. Schaufeli. 2001. The job demands-resources model of burnout.Journal of Applied Psychology 86, 3 (2001), 499–512. https://doi.org/10.1037/0021-9010.86.3.499
[10]
Patrick E. Downes, Cody J. Reeves, Brian W. McCormick, Wendy R. Boswell, and Marcus M. Butts. 2020. Incorporating Job Demand Variability Into Job Demands Theory: A Meta-Analysis. Journal of Management 47, 6 (may 2020), 1630–1656. https://doi.org/10.1177/0149206320916767
[11]
Haram Eom, Dongmin Lee, Yoonkung Cho, and Junghoon Moon. 2022. The association between meal regularity and weight loss among women in commercial weight loss programs. Nutrition Research and Practice 16, 2 (2022), 205. https://doi.org/10.4162/nrp.2022.16.2.205
[12]
Elisabeth Flo, Ståle Pallesen, Nils Magerøy, Bente Elisabeth Moen, Janne Grønli, Inger Hilde Nordhus, and Bjørn Bjorvatn. 2012. Shift work disorder in nurses–assessment, prevalence and related health problems. PloS one 7, 4 (2012), e33981.
[13]
Erica L. Hauck, Lori Anderson Snyder, and Luz-Eugenia Cox-Fuenzalida. 2008. Workload Variability and Social Support: Effects on Stress and Performance. Current Psychology 27, 2 (apr 2008), 112–125. https://doi.org/10.1007/s12144-008-9026-x
[14]
Julie D. Henry and John R. Crawford. 2005. The short-form version of the Depression Anxiety Stress Scales (DASS-21): Construct validity and normative data in a large non-clinical sample. British Journal of Clinical Psychology 44, 2 (jun 2005), 227–239. https://doi.org/10.1348/014466505x29657
[15]
Keita Kamijo and Yuji Takeda. 2010. Regular physical activity improves executive function during task switching in young adults. International Journal of Psychophysiology 75, 3 (2010), 304–311.
[16]
Carol Collier Kuhlthau. 1999. The Role of Experience in the Information Search Process of an Early Career Information Worker: Perceptions of Uncertainty, Complexity, Construction, and Sources. J. Am. Soc. Inf. Sci. 50, 5 (apr 1999), 399–412.
[17]
Sakari Lemola, Thomas Ledermann, and Elliot M. Friedman. 2013. Variability of Sleep Duration Is Related to Subjective Sleep Quality and Subjective Well-Being: An Actigraphy Study. PLoS ONE 8, 8 (Aug. 2013), e71292. https://doi.org/10.1371/journal.pone.0071292
[18]
Yee Mei Lim, Aladdin Ayesh, and Martin Stacey. 2019. Continuous Stress Monitoring under Varied Demands Using Unobtrusive Devices. International Journal of Human–Computer Interaction 36, 4 (jul 2019), 326–340. https://doi.org/10.1080/10447318.2019.1642617
[19]
Denisa Luta, Deborah M. Powell, and Jeffrey R. Spence. 2019. Entrained Engagement? Investigating If Work Engagement Follows a Predictable Pattern across the Work Week and the Role of Personality in Shaping Its Pattern. In Research on Emotion in Organizations. Emerald Publishing Limited, 89–109. https://doi.org/10.1108/s1746-979120190000015009
[20]
Jürgen Margraf, Kristen Lavallee, XiaoChi Zhang, and Silvia Schneider. 2016. Social Rhythm and Mental Health: A Cross-Cultural Comparison. PLOS ONE 11, 3 (03 2016), 1–16. https://doi.org/10.1371/journal.pone.0150312
[21]
Jürgen Margraf, Kristen Lavallee, XiaoChi Zhang, and Silvia Schneider. 2016. Social rhythm and mental health: a cross-cultural comparison. PloS one 11, 3 (2016), e0150312.
[22]
Shayan Mirjafari, Kizito Masaba, Ted Grover, Weichen Wang, Pino Audia, Andrew T Campbell, Nitesh V Chawla, Vedant Das Swain, Munmun De Choudhury, Anind K Dey, 2019. Differentiating higher and lower job performers in the workplace using mobile sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 2 (2019), 1–24.
[23]
Timothy H. Monk, Joseph F. Flaherty, Ellen Frank, Kathleen Hoskinson, and David J. Kupfer. 1990. The Social Rhythm Metric An Instrument to Quantify the Daily Rhythms of Life. The Journal of Nervous and Mental Disease 178, 2 (Feb. 1990), 120–126. https://doi.org/10.1097/00005053-199002000-00007
[24]
Mehrab Bin Morshed, Javier Hernandez, Daniel McDuff, Jina Suh, Esther Howe, Kael Rowan, Marah Abdin, Gonzalo Ramos, Tracy Tran, and Mary Czerwinski. 2022. Advancing the Understanding and Measurement of Workplace Stress in Remote Information Workers from Passive Sensors and Behavioral Data. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 1–8.
[25]
Mehrab Bin Morshed, Samruddhi Shreeram Kulkarni, Koustuv Saha, Richard Li, Leah G. Roper, Lama Nachman, Hong Lu, Lucia Mirabella, Sanjeev Srivastava, Kaya de Barbaro, Munmun De Choudhury, Thomas Plötz, and Gregory Abowd. 2022. Food, Mood, Context: Examining College Students’ Eating Context and Mental Well-Being. ACM Trans. Comput. Healthcare (apr 2022). https://doi.org/10.1145/3533390
[26]
Maren Mühlenmeier, Thomas Rigotti, Anja Baethge, and Tim Vahle-Hinz. 2022. The ups and downs of the week: A person-centered approach to the relationship between time pressure trajectories and well-being.Journal of Occupational Health Psychology 27, 3 (jun 2022), 286–298. https://doi.org/10.1037/ocp0000306
[27]
Fiona M. Nea, John Kearney, M. Barbara E. Livingstone, L. Kirsty Pourshahidi, and Clare A. Corish. 2015. Dietary and lifestyle habits and the associated health risks in shift workers. Nutrition Research Reviews 28, 2 (2015), 143–166. https://doi.org/10.1017/S095442241500013X
[28]
Subigya Nepal, Gonzalo J Martinez, Shayan Mirjafari, Stephen Mattingly, Vedant Das Swain, Aaron Striegel, Pino G Audia, and Andrew T Campbell. 2021. Assessing the Impact of Commuting on Workplace Performance Using Mobile Sensing. IEEE Pervasive Computing 20, 4 (2021), 52–60.
[29]
Subigya Nepal, Gonzalo J Martinez, Shayan Mirjafari, Koustuv Saha, Vedant Das Swain, Xuhai Xu, Pino G Audia, Munmun De Choudhury, Anind K Dey, Aaron Striegel, 2022. A Survey of Passive Sensing in the Workplace. arXiv preprint arXiv:2201.03074 (2022).
[30]
Subigya Nepal, Shayan Mirjafari, Gonzalo J Martinez, Pino Audia, Aaron Striegel, and Andrew T Campbell. 2020. Detecting job promotion in information workers using mobile sensing. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 3 (2020), 1–28.
[31]
The American Institute of Stress. 2022. Workplace stress. https://www.stress.org/workplace-stress
[32]
Dorian Peters, Rafael A. Calvo, and Richard M. Ryan. 2018. Designing for Motivation, Engagement and Wellbeing in Digital Experience. Frontiers in Psychology 9 (may 2018). https://doi.org/10.3389/fpsyg.2018.00797
[33]
Andrew J K Phillips, William M Clerx, Conor S O’Brien, Akane Sano, Laura K Barger, Rosalind W Picard, Steven W Lockley, Elizabeth B Klerman, and Charles A Czeisler. 2017. Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing. Sci. Rep. 7, 1 (June 2017), 3216.
[34]
June J. Pilcher and Drew M. Morris. 2020. Sleep and Organizational Behavior: Implications for Workplace Productivity and Safety. Frontiers in Psychology 11 (jan 2020). https://doi.org/10.3389/fpsyg.2020.00045
[35]
James M Rippe. 2018. Lifestyle medicine: the health promoting power of daily habits and practices. American journal of lifestyle medicine 12, 6 (2018), 499–512.
[36]
Sahar M. Sabet, Natalie D. Dautovich, and Joseph M. Dzierzewski. 2021. The Rhythm is Gonna Get You: Social Rhythms, Sleep, Depressive, and Anxiety Symptoms. Journal of Affective Disorders 286 (2021), 197–203. https://doi.org/10.1016/j.jad.2021.02.061
[37]
Robert L Sack. 2010. Jet lag. New England Journal of Medicine 362, 5 (2010), 440–447.
[38]
Daniel Schneider and Kristen Harknett. 2019. Consequences of Routine Work-Schedule Instability for Worker Health and Well-Being. American Sociological Review 84, 1 (feb 2019), 82–114. https://doi.org/10.1177/0003122418823184
[39]
M.B. Spencer. 1987. The influence of irregularity of rest and activity on performance: a model based on time since sleep and time of day. Ergonomics 30, 9 (1987), 1275–1286. https://doi.org/10.1080/00140138708966022 arXiv:https://doi.org/10.1080/00140138708966022
[40]
Jay Stewart, and Harley Frazis and. 2019. The importance and challenges of measuring work hours. IZA World of Labor (2019). https://doi.org/10.15185/izawol.95.v2
[41]
Benjamin Tag, Andrew W. Vargo, Aman Gupta, George Chernyshov, Kai Kunze, and Tilman Dingler. 2019. Continuous Alertness Assessments: Using EOG Glasses to Unobtrusively Monitor Fatigue Levels In-The-Wild. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3290605.3300694
[42]
Yu Tahara, Saneyuki Makino, Takahiko Suiko, Yuki Nagamori, Takao Iwai, Megumi Aono, and Shigenobu Shibata. 2021. Association between irregular meal timing and the mental health of Japanese workers. Nutrients 13, 8 (Aug. 2021), 2775.
[43]
William H Walker, James C Walton, A Courtney DeVries, and Randy J Nelson. 2020. Circadian rhythm disruption and mental health. Translational psychiatry 10, 1 (2020), 1–13.
[44]
Tenshi Watanabe, Jiro Masuya, Shogo Hashimoto, Mina Honyashiki, Miki Ono, Yu Tamada, Yota Fujimura, Takeshi Inoue, and Akiyoshi Shimura. 2022. Long Working Hours Indirectly Affect Psychosomatic Stress Responses via Complete Mediation by Irregular Mealtimes and Shortened Sleep Duration: A Cross-Sectional Study. International Journal of Environmental Research and Public Health 19, 11 (may 2022), 6715. https://doi.org/10.3390/ijerph19116715
[45]
Yvonne H. C. Yau and Marc N. Potenza. 2013. Stress and eating behaviors. Minerva Endocrinol. 38, 3 (Sept. 2013), 255–267.

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      cover image ACM Conferences
      CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
      April 2023
      3914 pages
      ISBN:9781450394222
      DOI:10.1145/3544549
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 19 April 2023

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      Author Tags

      1. Future of Work
      2. Information Workers
      3. Passive Sensing
      4. Regularity
      5. Routine
      6. Social Computing
      7. Well-being
      8. Workplace Rhythm

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