Interactive Systems Laboratory
Faculty at the University of Michigan Computer Science and Engineering Division who investigate Human Computer Interaction (HCI), Educational Technology, Multimedia, and Social Computing.
Welcome to the Interactive Systems Lab
The Interactive Systems (IS) group at the University of Michigan investigates Human Computer Interaction (HCI), Educational Technology, Multimedia, and Social Computing. HCI is a large and diverse field and the faculty cover many important areas, including strengths in the fundamentals of HCI as well as exciting new technologies and services.
Meet the people who make up the IS Lab >
Prospective graduate students
The scientific fundamentals include the domains of human perception and cognition and human factors, social activity, and learning. The applications cover a wide span: user interface design methods, computational sound and music systems, collaborative systems, access technology, and educational computing in K-12 settings, with a special emphasis on mobile and ubiquitous computing.
Visit our prospective student page on the CSE website >
Towards hybrid intelligence for robotics
Sai Gouravajhala is a PhD student working with Prof. Walter Lasecki on how to create intelligent systems that combine human and machine intelligence to accomplish new tasks.
The UM and Trove collaboration
Profs. Danai Koutra and Walter Lasecki are collaborating with Trove to develop novel methods and tools that will help make intelligent online communication smarter.
Michigan team competes in Amazon challenge to make AI more engaging
The team of twelve students is one of ten worldwide working to give Amazon’s Alexa more human-like conversational skills.
Learning the computational mindset – education researchers give perspective
The authors argue that modern children already think with computation after being shaped by the prolific digital tools that fill their lives
DARPA Award for more responsive AI that combines human and machine
The goal of Lasecki’s proposal is to create methods for making AI systems more robust and flexible.