Hyper-individualized health communication and behavioral motivation in addiction prevention through generative AI (IndiSuKI)
IndiSuKI is testing an innovative approach to digital addiction prevention: the project is developing an AI-supported app that tailors prevention messages on cannabis use to young adults aged 18 to 25. With the help of generative artificial intelligence, personalized content is created that is geared towards the respective consumption behavior, attitudes and needs of the users. The aim is to make health communication more effective and promote sustainable changes in behavior. The application is developed, tested and scientifically evaluated together with representatives of the target group. In the long term, the knowledge gained should help to make new digital approaches to addiction prevention accessible nationwide.
Project description
Background: The healthcare sector is in a phase of digital upheaval. The field of addiction prevention is no exception. Digitalization is fundamentally changing familiar processes. New services and applications are constantly appearing that show the opportunities and possibilities that artificial intelligence (AI) tools already offer for the healthcare sector. For example, there are AI-supported apps that provide individual support for patients with cancer or apps that promote healthy everyday behavior. Such solutions do not yet exist in the field of addiction prevention. The question therefore increasingly arises as to whether AI can also be used sensibly here and whether the target groups for prevention messages can therefore be better reached. The opportunities, benefits and risks of using AI in the field of addiction prevention are still largely unexplored.
Aims and approach: The joint project IndiSuKI aims to develop, test and evaluate a mobile app in which cannabis prevention content and media are customized with the help of AI. The target group of this app includes young adults aged 18 to 25 with different cannabis consumption patterns. The AI to be developed learns from the user's input and can therefore communicate highly individualized prevention messages better and better. In this way, it acts as a "companion" in everyday life, motivating people to change their behavior. People from the actual target group are involved in the development of the app following training in order to increase acceptance of the app for the overall target group. The knowledge gained and the application of the prototype will contribute in the long term to the further development of essential processes in addiction prevention with the help of AI, making them usable and available nationwide. The free accessibility of the solution is particularly important: interested parties from the field of addiction prevention can further develop the solution in the long term and thus contribute to its widespread dissemination in order to communicate prevention messages in addiction prevention with the help of AI.
Everything at a glance
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Duration
01.01.2026 - 31.12.2027 (ongoing) -
Research area
Digital Public Health -
Funding
Federal Ministry of Health (BMG)
Funding bodies and cooperation partners
The project is funded by the Federal Ministry of Health (BMG ) as part of the departmental research programme in the "Digitalization" field of action, funding priority "Use of artificial intelligence (AI) in addiction prevention". The aim is to develop the use of AI in addiction prevention, to test it scientifically and to systematically evaluate the opportunities and risks. The knowledge gained should contribute to the further development of digital prevention approaches and make them usable nationwide.
Important project partners are nuvio gGmbH (project management) and Railslove GmbH (technical implementation including language model and UI/UX design).