The Intelligent Adaptive Interventions group is guided by redesigning technology for people, with applications like education and health behavior change. We combine human-computer interaction and psychology by conducting randomized A/B comparisons in real-world settings. We apply statistics and machine learning methods like multi-armed bandit algorithms to dynamically adapt randomized A/B comparisons to enhance and personalize the experience for future people, balancing practical impact with conducting scientific research. This is managed by undergrads at the IAI Lab.