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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
DOIs
Publication statusE-pub ahead of print - 14 Sep 2017
EventThe 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) - Jeju, Korea
Duration: 14 Sep 2017 → …

Conference

ConferenceThe 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17)
Period14/09/17 → …

Fingerprint

Health risks
Application programs

Keywords

  • Behaviour Change
  • JITAI

Cite this

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title = "Rich Context Information for Just-In-Time Adaptive Intervention promoting physical activity",
abstract = "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.",
keywords = "Behaviour Change, JITAI",
author = "Federico Cruciani and Chris Nugent and Ian Cleland and Paul McCullagh",
year = "2017",
month = "9",
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doi = "10.1109/EMBC.2017.8036957",
language = "English",
isbn = "978-1-5090-2809-2",
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}

Cruciani, F, Nugent, C, Cleland, I & McCullagh, P 2017, Rich Context Information for Just-In-Time Adaptive Intervention promoting physical activity. in Unknown Host Publication. The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17), 14/09/17. https://doi.org/10.1109/EMBC.2017.8036957

Rich Context Information for Just-In-Time Adaptive Intervention promoting physical activity. / Cruciani, Federico; Nugent, Chris; Cleland, Ian; McCullagh, Paul.

Unknown Host Publication. 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - 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.

AB - 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.

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