Description du projet
Une modélisation informatique améliorée pour des changements de comportement efficaces
Il existe des preuves montrant que l’utilisation d’une théorie du changement de comportement pour informer le développement des activités d’intervention conduit à un impact plus élevé de ces dernières. Dans le cas du tabagisme, qui reste la première cause de décès prématurés en Europe, la lutte contre la dépendance s’appuie essentiellement sur la pharmacothérapie et les stratégies d’accompagnement comportemental. Malheureusement, les gens échouent souvent à suivre ces traitements parce qu’ils ne peuvent pas contrôler leurs envies et les pressions sociales. Le projet COMPLAPSE, financé par l’UE, entend permettre des interventions numériques de sevrage tabagique dynamiquement adaptées en développant et en validant un modèle informatique dynamique des risques d’abandon. La nouvelle approche améliorera les théories statiques du changement de comportement en tenant compte des complexités observées, et permettra des interventions plus efficaces dans divers domaines, notamment la santé et la société.
Objectif
Tobacco smoking remains the leading preventable cause of premature morbidity and mortality in Europe. Gold standard treatment for smoking cessation includes pharmacotherapy and behavioural support. However, smoking lapses – influenced by momentary fluctuations in cravings and social cues – are a key source of treatment failure. COMPLAPSE aims to advance the state-of-the-art by developing and validating a dynamic computational model of lapse risk, improving the precision of static behaviour change theories to account for observed complexities and laying the foundation for dynamically tailored, person-centred digital smoking cessation interventions for increased effectiveness. COMPLAPSE is interdisciplinary in scope – drawing on know-how from behavioural science, engineering, and computer science – and directly contributes to Europe’s Path to the Digital Decade and its Strategic Framework for the Prevention of Non-Communicable Diseases. First, a conceptual model will be developed by articulating a diverse group of stakeholders’ (e.g. researchers, policymakers, smokers) dynamic predictions through participatory systems mapping. Next, a computational model will be developed through formulating mathematical equations for each model component, followed by a series of simulations to iteratively refine the model to align with stakeholders’ predictions. Finally, the model will be validated against temporally dense experience sampling and sensor data collected in smokers’ daily lives to critically examine whether the computational model outperforms static state-of-the-art theories. The research objectives are linked to key training, knowledge transfer and communication activities to advance the researcher’s expertise and transferrable skills, enabling her to develop independence; valorise the researcher’s knowledge within the associated partner organisation and beneficiary; and disseminate the results to the scientific community, industry professionals, and the public.
Champ scientifique
Mots‑clés
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régime de financement
HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global FellowshipsCoordinateur
33100 Tampere
Finlande