In this two-day course, we will investigate key components of AI-based behaviour support systems. Key to such technologies is understanding why people do what they do (by learning about their motivations, habits, capabilities and needs), so that the offered support is timely and targeted at a pivotal mechanism. AI-related technologies can contribute to deepening this understanding, e.g., machine learning of observational data to gain insights in behavioural patterns, cognitive models to reason about cognitive aspects such as motivation and self-efficacy, conversational AI such as LLMs and chatbots to engage with people, or VR/AR approaches for training people or for providing visual insight into possible scenarios.

In the course, a number of these technological components will be presented by experts in the field, and students will be invited to work on assignments related to these components. In addition, several examples of applications in the area of health and sustainability will be presented. Finally, we will investigate how to support individuals in their behaviour change trajectory in ways that align with core societal values such as liberty, autonomy, and (social) justice.