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 describe 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.
翻译:随着工作场所的数字化程度的提高,随着该流行病引发的远程和混合工作的增加,企业对使用被动感测技术促进工作场所福祉的兴趣日益增长。关于这些技术的现有研究往往侧重于了解或改善个人用户与技术之间的互动。然而,工作场所环境可以带来一系列复杂因素,挑战福利感测技术的潜在影响和实际需要。今天,对于日常工人 -- -- 包括受工作场所技术影响和影响的人 -- -- 如何设想其更广泛的社会生态影响,缺乏充分的经验理解。在这项研究中,我们与三个利益相关群体的33名参与者进行了由故事板驱动的访谈:组织主管、AI建筑商和工人数据主体。总体而言,我们的调查结果说明工人对福利感测技术的构想如何导致对其更广泛的组织文化、与同事之间的人际关系以及个人日常生活产生连锁影响。与会者预计,围绕“工人福祉”概念的扩大、对工作场所状况感测的潜在技术限制,以及社会结构和关系如何影响和使用这些技术的假设会如何影响和使用。我们所研究的研究结果将如何影响工人。我们从数据的角度来讨论。</s>