-by Dr. Katarzyna Wac, Stanford University & University of Copenhagen (Denmark) and University of Geneva (Switzerland)
6:30 Doors Open, Food & Networking
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Patterns of diseases are changing; they relate less and less to sudden infections or crippling accidents, and on a growing scale they develop as slow and debilitating afflictions caused by repetitive harmful behaviours (e.g., poor nutrition). These behaviours relate to different domains - the physical, psychological, social and environmental - and contribute significantly to the individual’s overall health and Quality of Life (QoL) in the long term.
In parallel, the ubiquitous availability of personalized, miniaturized mobile and wirelessly connected technologies embedded in smartphones and wearables enable longitudinal, real-life minimally obtrusive assessments of the individual’s behaviours, modelling of his/her health risks and the resulting QoL in the long term. A smartphone is eventually becoming smarter, taking the role of a personal agent of behavioural change, impacting individual lives.
The QoL lab emphasizes research on overall health and life quality and it focuses on a robust, reproducible and evidence-based modelling approach based on reliable, privacy-preserving research infrastructure, leveraging a “Living Lab” approach to capture ‘small personal data’ acquired throughout everyday life via an individual’s smartphone and wearables. The chosen modelling approach integrates a mix of theoretical components coming from computer science (pattern recognition, machine learning, deep learning, computational sensing, artificial intelligence) and theories and models from social and behavioural sciences and preventive medicine.
To date, we have modelled individual’s behaviours and perceptions within different QoL domains – from mobility, physical activity and public transportation usage, via sleep quality and quantity, stress, to physical safety and security. Our research also includes understanding and modelling human factors influencing the acceptance of these technologies by different stakeholders, including patients, providers, payers, policy-makers and the public. These human factors influence the collected data quality and potential of its integration into clinical workflows. Its ultimate aim is to provide behaviour and QoL models that are meaningful for the individuals and effective in achieving a sustained behaviour change, as well as can be interpreted in clinical contexts of disease prevention or diagnosis, chronic illness monitoring, treatment options or tracking the progress of rehabilitation.
Katarzyna Wac, Ph.D. is an Associate Professor of Human Centered-Computing at the Department of Computer Science, Faculty of Science, University of Copenhagen, Denmark, and an Invited Professor at the University of Geneva, Switzerland, affiliated with Stanford University since 2013. Prof. Wac researches how mobile technologies can be leveraged for an accurate, longitudinal, real-life, context-rich, minimally obtrusive, privacy-preserving, personalized assessment of the individual’s behavior and Quality of Life and the improvement of the latter. Read more on Prof. Wac's recent research activities at www.qol.diku.dk. Full list of Prof. Wac's publications is available from Google Scholar.