Human‐AI Interaction

Our research is at the intersection of AI, Human-Computer Interaction (HCI), and Cognitive Science, with the overarching goal to foster effective Human-AI assisted work. We investigate how to design and evaluate AI systems, digital and robotic, capable of performing useful tasks and adhering to usability principles fundamental for user acceptance (e.g., unobtrusiveness, transparency, predictability, controllability). Our research spans AI-driven personalization, Explainable AI, Affective Computing, Natural Language Processing, Human-Robot Interaction, Computational Cognitive Science, Human-AI Collaboration and the study of critical human values (e.g., fairness, inclusivity, and diversity) in AI as a socio-technical system. Applications include Education, Healthcare, Accessibility, and Business Intelligence/Analytics