| Author | Kraft, Dimitri; Schmidt, Angelina; Oschinsky, Frederike Marie; Büttner, Lea; Lambusch, Fabienne; Laerhoven, Kristof van; Bieber, Gerald; Fellmann, Michael |
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| Date | 2022 |
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| Type | Conference Paper |
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| Abstract | Health assistant tools at the workplace may contribute to preventing work-related absenteeism, increasing overall employee satisfaction, and reducing the costs of sickness or presenteeism in the long term. The tools may be integrated into a digital corporate health management strategy. Despite their huge potential, a major drawback of common tools (e.g., wearables, dedicated cameras) are that they require direct interaction, skin contact, or come with a high acquisition cost. A concept for unobtrusive and software-based monitoring to increase long-term health, improve working conditions or show the necessary adjustments to the new work situation can help to solve these problems. This paper presents a concept that shows how a simple webcam can be utilized to record vital signs, posture, and behavior during working hours. It offers individual and intelligent interven-tions and recommendations based on these data to reduce psychological and physical stress. Our approach demonstrates that the required parameters can be used to offer user-tailored interventions based on simple rules. We present a pro-totypical implementation of an intelligent health companion and show avenues for future research. |
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| Conference | Conference "NeuroIS Retreat" 2022 |
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| Url | https://publica.fraunhofer.de/handle/publica/429474 |
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