What Is “Eating Right” at Work? User Experience With an Employee Wellness Program

Stambler, Danielle

doi:10.1109/procomm48883.2020.00025

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…Self-monitoring the physical self is concerned with tracking and monitoring physical movements and bodily functions to assist individuals in regulating and making better decisions about their professional performance and wellbeing (Mettler & Wulf, 2019;Wilson, 2012). Fitbit and Jawbone Up, among other tools and devices, can be utilised to gather and monitor data on physical activity, such as step count, distance covered, and duration of walking to promote physical activity and reduce sedentary behaviours (Mettler & Wulf, 2019;Vyas et al, 2020) and/or promote nutritional or healthy eating habits (Chang et al, 2014;Pan et al, 2021;Stambler, 2020).…”

Section: Personal Domains Self-monitoredmentioning

confidence: 99%

Human-Ai Interaction in Regulating Productivity and Wellbeing

Ekandjo

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<p><strong>Knowledge workers are essential for sustainable organisational performance. However, knowledge workers face many challenges due to the increased demands of a globalised economy and rapid technological advancements. Moreover, research suggests that knowledge workers lack self-discipline and often engage in unproductive work habits, consequently impacting their productivity and wellbeing. Enterprise intelligent personal assistants (IPAs) are being promoted as having the potential to boost knowledge workers' productivity and wellbeing by regulating work behaviours. However, research on the role of IPAs in managing personal productivity and wellbeing remains underexplored within information systems (IS) research. Current studies are primarily confined to human-computer interaction (HCI) literature and predominantly centred on the IPAs' design and usability evaluation, neglecting to investigate their real-world impact and lived experiences. This thesis addresses this shortcoming by focusing on the underexplored aspect of human-AI coregulation of daily work-life practices. The study is based on a single unique case study of knowledge workers interacting with Microsoft Viva Insights (MVI), an enterprise IPA for productivity and wellbeing. The data for this study include twenty-six semi-structured interviews, four self-reflection journals, over sixty screenshots of interactions with MVI, twenty-two product videos and twenty-three webpages and documents on MVI. Using the concepts of coregulation and framing theory, this study explores both the role of enterprise IPAs and the nature of human-AI interaction in regulating daily work-life practices. I explain how the IPA, as a coregulator, used rationalisation, moralisation and normalisation strategies to participate in the regulation of work-life practices. In addition, I present a frame interaction model of coregulatory human-AI interaction to show and explain that for human-AI coregulation of work to be successful, there is a need for frame alignment between humans' cognitive frames and the frames embedded in IPAs. The significance of this study is that it adopts a novel approach by combining two bodies of framing literature and extending the application of the framing theory to explain the nature of human-AI interaction in the context of agentic IS designed for behaviour regulation and modification in work settings. As far as I am aware, this study is the first to merge two bodies of framing literature to conceptualise human-AI interaction as a form of frame interaction within the IS field. The study offers valuable empirical insights for IS researchers, AI designers and organisations interested in effectively integrating AI technologies in the workplace.</strong></p>

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Section: Personal Domains Self-monitoredmentioning

confidence: 99%

Human-Ai Interaction in Regulating Productivity and Wellbeing

Ekandjo

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Employee Engagement and Turnover utilizing Logistic Regression

Raza

Hasan

2021

2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)

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Questioning Neoliberal Rhetorics of Wellness: Designing Programmatic Interventions to Better Support Graduate Instructor Wellbeing

Clem

Buyserie

2023

Commun. Des. Q. Rev

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Previous research has recognized the neoliberal trends that permeate the rhetorics of academic wellness, placing the responsibility for wellbeing on individuals rather than institutions and systems. In this study, the authors implemented a participatory action research (PAR) project to collaborate with different stakeholders in one university writing program and develop programmatic approaches to support the wellbeing one subset of academic faculty: graduate student instructors. Along with an account of how we adapted our PAR methodology to align with the wellness needs of our participants, we also provide a description and analysis of the intervention developed collaboratively in the PAR group. We end with five takeaways that researchers and stakeholders in graduate student education can apply to developing programmatic interventions that better support graduate instructor wellbeing: 1) research methodologies should adapt to foreground wellbeing; 2) productive conversations about wellbeing should start by acknowledging and validating the lived experience of graduate instructors; 3) students want to be involved in programmatic processes and procedures that support their wellbeing; 4) facilitating (but not requiring) non-productive social interaction among grad students can support GI wellbeing; 5) the work of supporting wellbeing is never fully done---we call on administrators, faculty members, and students to continue this work.

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What Is “Eating Right” at Work? User Experience With an Employee Wellness Program

Cited by 3 publications

References 13 publications

Human-Ai Interaction in Regulating Productivity and Wellbeing

Human-Ai Interaction in Regulating Productivity and Wellbeing

Employee Engagement and Turnover utilizing Logistic Regression

Questioning Neoliberal Rhetorics of Wellness: Designing Programmatic Interventions to Better Support Graduate Instructor Wellbeing

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