X. Jessie Yang

By |

Dr. X. Jessie Yang is an Associate Professor in the Department of Industrial and Operations Engineering, with courtesy appointments at the School of Information. She is an expert in human-autonomy/robot interaction, particularly in modeling trust in human-autonomy teams. She and her team use machine learning tools to model human behaviors when interacting with autonomous and robotic agents.

Douglas Zytko

Douglas Zytko

By |

My research explores consent in various facets of social computing and human-computer interaction. Most germane to MIDAS would be research into consent to personal data donation for AI model training, and more broadly approaches for participatory AI that directly involve AI-novice stakeholders in design and development of new AI-driven technologies.

Xu Wang

By |

My research is to support more people learn in effective ways. I draw techniques and theories from Human-Computer Interaction, Learning Sciences, and Artificial Intelligence to develop computational methods and systems to support scalable teaching and learning. There are several directions in my research that draw on data science techniques and also contribute to interdisciplinary data science research, 1) data-driven authoring techniques of intelligent tutoring systems, with application domains in UX education and data science education 2) AI-augmented instructional design and the use Human-AI collaborative techniques in instructional design.

 


Research Highlights