Project description
AI for healthier and sustainable consumption
Digital tools have long helped people manage their health and make sustainable food choices. Now, AI offers a smarter, more personalised approach. Supported by the Marie Skłodowska-Curie Actions programme, the E-Health Management project explores how AI-powered information and feedback can nudge users toward healthier, more sustainable diets. While digital health interventions are well-studied, little is known about their long-term impact on dietary behaviour. This project fills that gap, using psychological theories to design AI systems that guide users naturally and unobtrusively. Combining experiments, surveys, and interviews across Denmark and China, researchers will uncover cultural differences in AI-driven health management. The findings could shape future digital health policies to boost public health and environmental sustainability.
Objective
People have extensively used digital technologies to manage personal health and practice sustainable dietary consumption. The recent emergence of artificial intelligence (AI) provides a more convenient way.
The main objective of this project is to address the critical gaps in our understanding of the interplay of AI-powered information presentation, AI interaction (i.e. feedback mechanism), and healthy and sustainable dietary behaviors.
Health management has long been a central focus of academic inquiry. While digital health interventions have been extensively studied, there is limited research on the long-term effects of information presentation on user sustainable dietary behaviours from the intelligent system design perspective. To fill these gaps, this project investigates how to use AI-powered applications to guide individuals towards a healthy and sustainable lifestyle in a way that feels natural and unobtrusive, building upon the nudge literature and relevant psychological theories. The project comprises four work packages (WPs).
This project will apply a mixed-method approach (i.e. qualitative and quantitative methods) by using experimental methods primarily (i.e. laboratory, online, and field experiments), and employing surveys and interviews as secondary supplementary methods. By collecting data from diverse countries (i.e. Denmark and China), this research can introduce new cross-cultural perspectives (i.e. European and Asian cultures).
Understanding how AI can effectively promote behavior change in this context is a novel and impactful area with substantial implications for public health and environmental sustainability. The findings enriches the academic community's understanding of the interaction between digital health management systems and users. It has significant economic implications by promoting the consumption of organic foods, reducing the choices of unhealthy foods, and cutting down the incidence of diet-related diseases.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project has not yet been classified with EuroSciVoc.
Be the first one to suggest relevant scientific fields and help us improve our classification service
You need to log in or register to use this function
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2000 Frederiksberg
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.