multimodal AI meets behavioural science for improved preventive health

Behavioural & Cognitive Science

• Design and validation of behaviour change interventions grounded in cognitive, motivational, and decision-science theories

• Operationalisation of constructs such as cognitive load, engagement, motivation, habit formation, adherence, and bias

• Experimental design, human-in-the-loop evaluation, and mixed-methods validation (quantitative + qualitative)

Generative & Multimodal AI

• Development of personalised, adaptive behaviour change messages using generative AI

• Multimodal inputs (text, interaction data, physiological or behavioural signals where applicable)

• Emphasis on explainability, ethical AI, and alignment with human values

Behavioural Modelling & Simulation

• Computational modelling of individual and group behaviour

• Simulation of intervention effects, user trajectories, and decision pathways

• Support for scenario testing, policy modelling, and digital twin-like approaches for human behaviour

Embodied AI & Human-AI Interaction

• Design of embodied or agent-based AI systems (e.g. virtual coaches, assistants, or interactive agents)

• Research on trust, cooperation, personality, and social dynamics in human-AI interaction

• Experience with immersive and interactive settings (e.g. training, learning, performance contexts)

Data Science & Personalisation

• End-to-end data pipelines: feature engineering, modelling, evaluation

• Personalised recommendation and training systems, including adaptive learning or coaching

• Experience working with demographic, behavioural, performance, and bio-signal-derived data

Applied Domains

• Preventive health and health promotion

• Learning, skill acquisition, and long-term behaviour change

• Human growth, wellbeing, and sustainable behaviour

Role in a consortium

We are looking to contribute as:

• Research & Innovation partner bridging behavioural science and AI

• Work Package lead or contributor for intervention design, AI-based personalisation, modelling, or evaluation

• Prototype developer for AI-driven behavioural systems and digital health applications

• Dissemination & exploitation contributor, translating research into scalable, real-world applications