Abstract
Modern information technology has a high potential to assist people in their daily life via assistance systems. However, such systems surprisingly still lack appropriate solutions tackling the challenges of modern work-life. By now, work aspects such as productivity have been considered mainly separately from other aspects such as one’s health and fitness level. Regarding the latter, wearable technologies (like smartwatches or fitness trackers) are commonly used to gather sensor data (such as GPS, heart rate, etc.) and provide supportive recommendations. To support employees in promoting balance between different aspects of their work-life such as productivity and well-being, these features should be more integrated than this is the case in existing systems. To this end, we present an architectural concept for a wearable recommendation system designed to provide personal recommendations with the ultimate goal of supporting workplace productivity and well-being. In addition, our architectural concept also covers the aspect of user feedback to allow for improvements regarding the relevance of recommendations. We derived our conceptual architecture from related work, by considering the characteristics of the technology to be integrated and motivational scenarios describing the intended use of the system. With our architecture, we hope to inspire future efforts towards wearable recommender systems that integrate productivity and well-being.
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Richter, H., Fellmann, M., Lambusch, F., Kranzusch, M. (2022). Towards an Architectural Concept for a Wearable Recommendation System to Support Workplace Productivity and Well-Being. In: Kurosu, M. (eds) Human-Computer Interaction. User Experience and Behavior. HCII 2022. Lecture Notes in Computer Science, vol 13304. Springer, Cham. https://doi.org/10.1007/978-3-031-05412-9_29
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