Title
Personalized support for well-being at work: an overview of the SWELL project
Author
Kraaij, W.
Verberne, S.
Koldijk, S.
de Korte, E.
van Dantzig, S.
Sappelli, M.
Shoaib, M.
Bosems, S.
Achterkamp, R.
Bonomi, A.
Schavemaker, J.
Hulsebosch, B.
Wabeke, T.
Vollenbroek-Hutten, M.
Neerincx, M.
Sinderen, M.
Publication year
2020
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. © 2019, The Author(s).
Subject
Privacy
Behavioral research
Data privacy
Feedback
Human resource management
mHealth
User interfaces
Behavioural changes
Context-aware systems
Health interventions
Heterogeneous sensors
Personalizations
Personalized feedback
Quantified self
Well-being at works
Wearable sensors
To reference this document use:
http://resolver.tudelft.nl/uuid:0b93e077-e92e-42d6-bfa9-249790f1f0fa
DOI
https://doi.org/10.1007/s11257-019-09238-3
TNO identifier
867953
Source
User Modeling and User-Adapted Interaction, 30 (30), 413–446
Document type
article