NJ / RESEARCH
PEOPLE & INTELLIGENT SYSTEMS
Understanding performance, cognitive workload, and trust when people work with AI.
Our research brings human factors into the design and evaluation of intelligent assistants. The ExpertGen study examines learning performance, cognitive workload, and user trust in a domain-specific generative AI system.
Related workKNOWLEDGE & PERSONALIZATION
Developing AI assistance informed by domain knowledge and individual needs.
Work on domain-tailored generative AI and ExpertAgent explores personalized assistance, retrieval-augmented reasoning, and dynamic planning. These projects connect advances in language models with the practical needs of the people using them.
Related workLEARNING & HUMAN DEVELOPMENT
Exploring how AI can support learning, training, and collaborative writing.
Our publications examine AI-assisted training, generative AI in civil engineering education, personalized learning, and educational math game design. This work considers how educational goals and human-centered design can guide the use of AI.
Related workLANGUAGE, PERCEPTION & ACTION
Connecting human intent with robot execution through multimodal interaction.
H2R Link explores a multimodal framework for translating human intent into robot action. Related work examines voice interaction and scene-aware grounding for verifiable robot task planning.
Related work