3 papers
cs.HC2026
Structured Exploration vs. Generative Flexibility: A Field Study Comparing Bandit and LLM Architectures for Personalised Health Behaviour Interventions
Dominik P. Hofer, Haochen Song, Rania Islambouli +5
Behaviour Change Techniques (BCTs) are central to digital health interventions, yet selecting and delivering effective techniques remains challenging. Contextual bandits enable sta…
cs.LG2026
Tailored Behavior-Change Messaging for Physical Activity: Integrating Contextual Bandits and Large Language Models
Haochen Song, Dominik Hofer, Rania Islambouli +6
Contextual multi-armed bandit (cMAB) algorithms offer a promising framework for adapting behavioral interventions to individuals over time. However, cMABs often require large sampl…
cs.LG2025
Adaptive Experiments Under Data Sparse Settings: Applications for Educational Platforms
Haochen Song, Ilya Musabirov, Ananya Bhattacharjee +4
Adaptive experimentation is increasingly used in educational platforms to personalize learning through dynamic content and feedback. However, standard adaptive strategies such as T…