PEGASO: A Personalised and Motivational ICT System to Empower Adolescents Towards Healthy Lifestyles


Published on

Unhealthy alimentary behaviours and physical inactivity habits are key risk factors for major non communicable diseases. Several researches demonstrate that juvenile obesity can lead to serious medical conditions, pathologies and have important psycho-social consequences. PEGASO is a multidisciplinary project aimed at promoting healthy lifestyles among teenagers through assistive technology. The core of this project is represented by the ICT system, which allows providing tailored interventions to the users through their smartphones in order to motivate them. The novelty of this approach consists of developing a Virtual Individual Model (VIM) for user characterization, which is based on physical, functional and behavioural parameters opportunely selected by experts. These parameters are digitised and updated thanks to the user monitoring through smartphone; data mining algorithms are applied for the detection of activity and nutrition habits and this information is used to provide personalised feedback. The user interface will be developed using gamified approaches and integrating serious games to effectively promote health literacy and facilitate behaviour change.

Published in: Healthcare
  • Be the first to comment

  • Be the first to like this

No Downloads
Total views
On SlideShare
From Embeds
Number of Embeds
Embeds 0
No embeds

No notes for slide

PEGASO: A Personalised and Motivational ICT System to Empower Adolescents Towards Healthy Lifestyles

  1. 1. PEGASO A Personalised and Motivational ICT System to Empower Adolescents Towards Healthy Lifestyles Stefano CARRINO(1), , Maurizio CAON(1), Leonardo ANGELINI(1), Elena MUGELLINI(1), Omar ABOU KHALED(1), Silvia ORTE(2), Eloisa VARGIU(2), Neil COULSON(3), José C.E. SERRANO(4), Sarah TABOZZI(5), Claudio LAFORTUNA(5), Giovanna RIZZO(5) (1) University of Applied Sciences and Arts Western Switzerland (2) Barcelona Digital Technology Center (3) University of Nottingham (4) Universidad de Lleida (5) IBFM, Consiglio Nazionale delle Ricerche
  2. 2. OUTLINE Goal and Motivation User Modelling Information Sources Data Mining and Reasoning Approaches Motivation Mechanisms Conclusions
  3. 3. GOAL AND MOTIVATION1 Goal and Motivation 1
  4. 4.  The rapidly increasing prevalence of overweight and obesity among children and adolescents reflects a global ‘epidemic’ worldwide  Obesity already accounts for up to 7% of healthcare costs in the EU, as well as costs to the wider economy associated with lower productivity, lost output and premature death  Obesity in younger age groups has been recognized as an alarming key predictor for obesity in adulthood  Short term health complications also in juvenile age such as hypertension, type 2 diabetes, metabolic syndrome, fatty liver disease, sleep disturbances along with greater risk of social and psychological problems UNDERLYING MOTIVATION Goal and Motivation 1
  5. 5.  Addressing the obesity issues requires a comprehensive approach taking into account the individual's physical-physiological characteristics, personality as well as the social and psychological environments influencing decisions and habits in their everyday life  Prevention is of obvious importance and there is an urgent need for further research into how physical activity and training, in addition to nutrition, can prevent the steadily increasing average body mass index of Europeans  The rapid development of the ICT, and in particular mobile technologies, together with their increasing diffusion among the EU populations, offers an important opportunity for facing these issues in an innovative manner introducing the possibility of a new technological framework to re-design the healthcare system model UNDERLYING MOTIVATION Goal and Motivation 1
  6. 6. THE GOAL PEGASO is aimed at developing a multi-dimensional and cross-disciplinary ICT system that includes game mechanics to influence behaviours in order to fight and prevent overweight and obesity in the younger population by encouraging them to become co- producers of their wellness and take an active role in improving it by: generating self-awareness enhancing and sustaining motivation changing behaviour towards a healthy lifestyle Goal and Motivation 1
  7. 7.  Enhancing self-awareness of younger people for health issues and promoting behavioural changes in favour of physical activity and healthy diets  Preventing juvenile overweight/obesity and reducing morbidities associated to juvenile overweight/obesity in the short time, and long term health consequences  Reducing medical, social and personal costs associated to juvenile and adult overweight/obesity  Developing a system suitable for interventions based on equity and inclusivity  Providing a transnational opportunity for a coordinated effort to tackle a transnational issue EXPECTED IMPACT Goal and Motivation 1
  8. 8. USER MODELLING2 User Modelling2
  9. 9. Virtual Individual Model User Modelling2
  10. 10. A multifaceted profile is needed to characterize the user Physical activity and alimentary behaviours Psycho-social characteristics Gamers profile USER PROFILING User Modelling2
  11. 11. INFORMATION SOURCES3 Information Sources 3
  12. 12. INFORMATION SOURCES Sensing platform Smartphone Smart garment External devices Questionnaires To acquire an initial profile To acquire data difficult or problematic to sense Smartphone applications Serious games Social media applications Interactive multimedia diary Information Sources 3
  13. 13. DATA MINING AND REASONING APPROACHES 4 Data Mining and Reasoning 4
  14. 14. It interacts with the motivational mechanisms It is built upon the information coming from questionnaires, the sensing platform and the applications  It provides dynamic multi-scale modelling of user-specific data BEHAVIOUR RECOGNITION SYSTEM Data Mining and Reasoning 4
  15. 15. BEHAVIOUR RECOGNITION SYSTEM Small-timescale trend behaviour recognition Raw data coming from sensors are sent to the smartphone and processed Data Mining and Reasoning 4
  16. 16. BEHAVIOUR RECOGNITION SYSTEM Long-timescale trend behaviour recognition Algorithms to recognize habits, tastes and preferences combined with statistical trend analysis Algorithms allow answering questions as • What kind of exercise does the user do? • When? • How long? • Does the user use social networks? • How many hours is the user watching TV? • What is the mealtime on the different typical days? • What is the amount of calories per meal? Data Mining and Reasoning 4
  17. 17. PHYSICAL ACTIVITY HABITS The BRS provides a module to bring together data from the sensor platform to create an environment in which data can be read, analysed and interpreted It comprises a post-processing system based on data cleaning and data mining algorithms to assure accuracy, completeness, uniqueness, timeliness and consistency Data Mining and Reasoning 4
  18. 18. NUTRITION HABITS PEGASO does not introduce sensors to measure the food intake Questionnaire and multimedia diary are adopted Data Mining and Reasoning 4 Data mining algorithms analyse questionnaires and diary Suitable algorithms verify the reliability of the acquired information
  19. 19. INDIVIDUAL RISK FACTORS Categorical data from physical, physiological, psychosocial and social status factors will be integrated with alimentary, physical activity and social behaviours expressed in appropriate scoring scales to yield an overall dynamic and individualised risk Data Mining and Reasoning 4 The system will take into account missing data on some elements that may determine the user profiles or the risk factors
  20. 20. MOTIVATION MECHANISMS5 Motivation Mechanisms 5
  21. 21. ACTIONS Short-term actions Respond to real-time information from sensors or directly from the user The system provides a feedback aiming at reinforcing user’s motivation Motivation Mechanisms 5 Long-term actions Introduce a behaviour change in the user Three factors will be considered • Motivation • Ability • Trigger
  22. 22. Actions Motivation Mechanisms 5  Health companion [Lifestyle Management]  Instant actuation mechanisms [Alert]  Gamified virtual environment [Motivation]  Intelligent system to influence the user towards healthier lifestyle [Behaviour change]  Virtual Individual Model Tailoring [Personalisation] Short term actions Long term actions
  23. 23. The adoption of the smartphone as primary interface towards the user allows developing games that can link the physical activity to the dynamic of a game PEGASO will not be limited to game or game-like applications The system will suggest activities, propose informative and educative materials, promoting health literacy and education GAMES AND PERSUASIVE TECHNOLOGIES Motivation Mechanisms 5
  24. 24. CONCLUSIONS6 Conclusions6
  25. 25. CONCLUSIONS  PEGASO is aimed at empowering adolescents towards healthy lifestyle  User profile is based on a conceptual framework grounded on the individual’s physical, functional and behavioural aspects  The profile is enriched and tailored through reasoning on information acquired through a sensing platform, questionnaires and specific applications  Small-timescale and long-timescale trend behaviours are recognized, analysed and used to generate motivational feedback Conclusions6
  26. 26. THANKS FOR YOUR ATTENTION! More about the project  Web:  Twitter: @PegasoF4F  Facebook: PegasoFitForFuture