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Rich Context Information for Just-In-Time Adaptive Intervention promoting physical activity

Cruciani, Federico, Nugent, Chris, Cleland, Ian and McCullagh, Paul (2017) Rich Context Information for Just-In-Time Adaptive Intervention promoting physical activity. In: The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), Jeju, Korea. Institute of Electrical and Electronics Engineers (IEEE), United States. 4 pp. [Conference contribution]

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URL: http://ieeexplore.ieee.org/abstract/document/8036957/

DOI: 10.1109/EMBC.2017.8036957


Sedentary lifestyle and inadequate levels of physical activity represent two serious health risk factors. Nevertheless, within developed countries, 60% of people aged over 60 are deemed to be sedentary. Consequently, interest in behavior change to promote physical activity is increasing. In particular, the role of emerging mobile apps to facilitate behavior change has shown promising results. Smart technologies can help in providing rich context information including an objectiveassessment of the level of physical activity and information on the emotional and physiological state of the person. Collectively, this can be used to develop innovative persuasive solutionsfor adaptive behavior change. Such solutions offer potential in reducing levels of sedentary behavior. This work presents a study exploring new ways of employing smart technologiesto facilitate behavior change. It is achieved by means of (i) developing a knowledge base on sedentary behaviors and recommended physical activity guidelines, and (ii) a context model able to combine information on physical activity, location, and a user’s diary to develop a context-aware virtual coach with the ability to select the most appropriate behavior change strategy on a case by case basis.

Item Type:Conference contribution (Poster)
Keywords:Behaviour Change, JITAI
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:38446
Deposited By: Mr Federico Cruciani
Deposited On:18 Sep 2017 08:51
Last Modified:07 Nov 2017 17:24

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