Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders
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Abstract (arXiv)
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.
Key facts. Cited by 13 papers in the map (data through 13 Oct 2026). First posted on arXiv 13 Mar 2023.
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Citing papers per year: 2024: 2; 2025: 8; 2026: 3.
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- 2026From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction29 Jan 2026
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- 2025How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape10 Nov 2025
- 2025Designing Beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English Proficiency10 Nov 2025
- 2025Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers18 Jun 2025
- 2025Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers17 Jun 2025
- 2025Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions27 May 2025
- 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression26 Apr 2025
- 2025Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces17 Apr 2025
- 2024AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker18 Oct 2024
- 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depressioncited by 13
- 2025Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregiverscited by 13
- 2024AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworkercited by 11
- 2025Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregiverscited by 7
- 2025Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptionscited by 6
- 2026From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interactioncited by 6
- 2025Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spacescited by 5
- 2025Designing Beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English Proficiencycited by 1
- 2025JEEVHITAA -- An HCAI Ecosystem to Support Collective Carecited by 0
- 2026Sima AIunty: Caste Audit in LLM-Driven Matchmakingcited by 0
- 2026Sima AIunty: Caste Audit in LLM-Driven Matchmaking31 Mar 2026
- 2026From Future of Work to Future of Workers: Addressing Asymptomatic AI Harms for Dignified Human-AI Interaction29 Jan 2026
- 2025JEEVHITAA -- An HCAI Ecosystem to Support Collective Care6 Dec 2025
- 2025Designing Beyond Language: Sociotechnical Barriers in AI Health Technologies for Limited English Proficiency10 Nov 2025
- 2025Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregivers18 Jun 2025
- 2025Balancing Caregiving and Self-Care: Exploring Mental Health Needs of Alzheimer's and Dementia Caregivers17 Jun 2025
- 2025Can we Debias Social Stereotypes in AI-Generated Images? Examining Text-to-Image Outputs and User Perceptions27 May 2025
- 2025AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression26 Apr 2025
- 2025Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces17 Apr 2025
- 2024AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker18 Oct 2024