research-article

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Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders

Authors:

Shreya Chowdhary,

Shamsi T. Iqbal,

Alexandra Olteanu,

Koustuv SahaAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 7, Issue CSCW2

Article No.: 358, Pages 1 - 33

https://doi.org/10.1145/3610207

Published: 04 October 2023 Publication History

Abstract

With the heightened digitization of the workplace, alongside the rise of remote and hybrid work prompted by the pandemic, there is growing corporate interest in using passive sensing technologies for workplace wellbeing. Existing research on these technologies often focus on understanding or improving interactions between an individual user and the technology. Workplace settings can, however, introduce a range of complexities that challenge the potential impact and in-practice desirability of wellbeing sensing technologies. Today, there is an inadequate empirical understanding of how everyday workers---including those who are impacted by, and impact the deployment of workplace technologies--envision its broader socio-ecological impacts. In this study, we conduct storyboard-driven interviews with 33 participants across three stakeholder groups: organizational governors, AI builders, and worker data subjects. Overall, our findings surface how workers envisioned wellbeing sensing technologies may lead to cascading impacts on their broader organizational culture, interpersonal relationships with colleagues, and individual day-to-day lives. Participants anticipated harms arising from ambiguity and misalignment around scaled notions of "worker wellbeing,'' underlying technical limitations to workplace-situated sensing, and assumptions regarding how social structures and relationships may shape the impacts and use of these technologies. Based on our findings, we discuss implications for designing worker-centered data-driven wellbeing technologies.

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Cited By

Gill MMathur PBhadouria P(2024)Investigating Emotional Intelligence and Employees' Well-Being in an AI-Enhanced WorkplaceInternational Journal of Management and Humanities10.35940/ijmh.I1709.1009052410:9(1-7)Online publication date: 30-May-2024
https://doi.org/10.35940/ijmh.I1709.10090524
Somanath SBakhtiari BMandryk R(2024)Design Fiction on Capturing, Amplifying, and Instilling Happiness in WorkProceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3663384.3663395(1-17)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3663384.3663395
Sefidgar YJörke MSuh JSaha KIqbal SRamos GCzerwinski M(2024)Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental ContrastingProceedings of the ACM on Human-Computer Interaction10.1145/36373518:CSCW1(1-29)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637351
Show More Cited By

Index Terms

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders
1. Applied computing
  1. Law, social and behavioral sciences
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 7, Issue CSCW2

CSCW

October 2023

4055 pages

EISSN:2573-0142

DOI:10.1145/3626953

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Jeff Nichols
Apple Inc., United States

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Cited By

Gill MMathur PBhadouria P(2024)Investigating Emotional Intelligence and Employees' Well-Being in an AI-Enhanced WorkplaceInternational Journal of Management and Humanities10.35940/ijmh.I1709.1009052410:9(1-7)Online publication date: 30-May-2024
https://doi.org/10.35940/ijmh.I1709.10090524
Somanath SBakhtiari BMandryk R(2024)Design Fiction on Capturing, Amplifying, and Instilling Happiness in WorkProceedings of the 3rd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3663384.3663395(1-17)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3663384.3663395
Sefidgar YJörke MSuh JSaha KIqbal SRamos GCzerwinski M(2024)Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental ContrastingProceedings of the ACM on Human-Computer Interaction10.1145/36373518:CSCW1(1-29)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637351
Saha KChandrasekharan E(2023)Future of Workplace Conversational AI-driven Personal Assistants: Promises and PerilsProceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation10.1145/3632754.3632939(133-135)Online publication date: 15-Dec-2023
https://dl.acm.org/doi/10.1145/3632754.3632939
Saha KIqbal S(2023)Focus Time: Effectiveness of Computer Assisted Protected Time for Wellbeing and Work Engagement of Information WorkersProceedings of the 2nd Annual Meeting of the Symposium on Human-Computer Interaction for Work10.1145/3596671.3598571(1-13)Online publication date: 13-Jun-2023
https://dl.acm.org/doi/10.1145/3596671.3598571
Haresamudram HSuh JHernandez JButler JChaudhry AYang LSaha KCzerwinski M(2023)Investigating Self-supervised Learning for Predicting Stress and Stressors from Passive Sensing2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)10.1109/ACIIW59127.2023.10388191(1-8)Online publication date: 10-Sep-2023
https://doi.org/10.1109/ACIIW59127.2023.10388191
Suh JHernandez JSaha KDixon KMorshed MHowe EKawakami ACzerwinski M(2023)Towards Successful Deployment of Wellbeing Sensing Technologies: Identifying Misalignments across Contextual Boundaries2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)10.1109/ACIIW59127.2023.10388088(1-8)Online publication date: 10-Sep-2023
https://doi.org/10.1109/ACIIW59127.2023.10388088

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