Health Behavior

Health behavior research focuses on understanding and modifying individual actions to improve health outcomes, primarily targeting lifestyle changes and adherence to medical treatments. Current research emphasizes the development and evaluation of digital interventions, employing techniques like reinforcement learning algorithms, personalized nudges via recommender systems (including graph neural networks), and AI-powered chatbots to deliver tailored support and enhance engagement. These efforts aim to improve the effectiveness and accessibility of health behavior change interventions, particularly for vulnerable populations, ultimately contributing to better health equity and reduced chronic disease burden.