Personalized support for well-being at work
an overview of the SWELL project
Wessel Kraaij (Radboud Universiteit Nijmegen, Universiteit Leiden, TNO)
Suzan Verberne (Universiteit Leiden, Radboud Universiteit Nijmegen)
Saskia Koldijk (Radboud Universiteit Nijmegen, TNO)
Elsbeth de Korte (TNO, TU Delft - Industrial Design Engineering)
Saskia van Dantzig (Philips Research)
Maya Sappelli (TNO, Radboud Universiteit Nijmegen)
Bob Hulsebosch (Innovalor BV)
Thymen Wabeke (TNO)
Mark Neerincx (TNO, TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Recent advances in wearable sensor technology and smartphones enable simple and affordable collection of personal analytics. This paper reflects on the lessons learned in the SWELL project that addressed the design of user-centered ICT applications for self-management of vitality in the domain of knowledge workers. These workers often have a sedentary lifestyle and are susceptible to mental health effects due to a high workload. We present the sense–reason–act framework that is the basis of the SWELL approach and we provide an overview of the individual studies carried out in SWELL. In this paper, we revisit our work on reasoning: interpreting raw heterogeneous sensor data, and acting: providing personalized feedback to support behavioural change. We conclude that simple affordable sensors can be used to classify user behaviour and heath status in a physically non-intrusive way. The interpreted data can be used to inform personalized feedback strategies. Further longitudinal studies can now be initiated to assess the effectiveness of m-Health interventions using the SWELL methods.
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