Brainatwork

Hassib, Mariam; Khamis, Mohamed; Friedl, Susanne; Schneegaß, Stefan; Alt, Florian

doi:10.1145/3152832.3152865

Cited by 21 publications

(2 citation statements)

References 17 publications

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“…Biofeedback is a concept that expresses the idea of externalizing physiological signals [20,33,44,69]. Physiological signals such as EEG [24,25], EDA [61], and heart rate (HR) [16,57] can be applied to biofeedback design to reflect emotional situations. For example, Cochrane et al facilitate mindful walking meditations over a soundscape using EEG signals [15].…”

Section: Linking Biofeedback and Emotionsmentioning

confidence: 99%

Affective Umbrella – A Wearable System to Visualize Heart and Electrodermal Activity, towards Emotion Regulation through Somaesthetic Appreciation

Chen

Han

Baldauf³

et al. 2023

Augmented Humans Conference

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Section: Linking Biofeedback and Emotionsmentioning

confidence: 99%

Affective Umbrella – A Wearable System to Visualize Heart and Electrodermal Activity, towards Emotion Regulation through Somaesthetic Appreciation

Chen

Han

Baldauf³

et al. 2023

Augmented Humans Conference

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“…Previous scholarly work has pointed out that technology-enabled self-monitoring metrics for evaluating wellbeing constructs suffer from limitations, including data and measurement inaccuracies and a lack of alignment between self-perceived and automatically collected data wellbeing assessments (Di Lascio et al, 2020;Hassib et al, 2017;Kaur et al, 2022). Ethical considerations continue to be significant concerns in the context of workplace self-monitoring practices.…”

Section: Workers' Attitudes and Concerns Towards Workplace Self-monit...mentioning

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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Measuring Multidimensional Facets of SRL Engagement with Multimodal Data

Wiedbusch

Dever

et al. 2023

Advances in Analytics for Learning and Teaching

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Brainatwork

Cited by 21 publications

References 17 publications

Affective Umbrella – A Wearable System to Visualize Heart and Electrodermal Activity, towards Emotion Regulation through Somaesthetic Appreciation

Affective Umbrella – A Wearable System to Visualize Heart and Electrodermal Activity, towards Emotion Regulation through Somaesthetic Appreciation

Human-Ai Interaction in Regulating Productivity and Wellbeing

Measuring Multidimensional Facets of SRL Engagement with Multimodal Data

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