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Center for Hybrid Intelligence Systems (HyIntS)

The Center for Hybrid Intelligence Systems (or “HyInts Center”) explores how human and machine intelligence can most effectively be combined at individual, team, and organization scales. The HyIntS Center brings together researchers and practitioners from Human-Computer Interaction, Artificial Intelligence, Management and Organization, Optimization, Human Factors, Design, Public Policy, Psychology, and more, to study topics ranging from collaboration in teams comprised of different forms of intelligence (e.g., human, AI) to how works gets done in the future. Our work has applications in facilitating more natural interaction with computational systems, defining/powering the future of work, and making the world a more accessible place for people with disabilities.

Research Areas

Human Factors in Teams
The Human Factors in Teams area is concerned with the application of what we know about people, their abilities, limitations, and characteristics to the design of Human-AI systems.  These systems will make people faster and more effective at their tasks when aided by machines as both tool and collaborator.
Tasking and Optimization
The Tasking & Optimization area focuses on creating a balance between human and AI agents when performing tasks that leverage the inherent strengths and creativity of people. Taking a systems approach, this area seeks to optimize the whole, including personal-, organizational-, and society-level objectives.
Human Computation
The Human Computation area studies how to integrate human intelligence and effort into computational processes in fundamentally new ways. By understanding and leveraging the unique abilities and strengths of people and AI systems, this promises to enable super-human capabilities through applications of these techniques at the intersection of human performance and AI/automation.
Encoding Knowledge
The Encoding Knowledge area explores how knowledge can be captured and used by machines in myriad ways: from end-user programming and programming-by-demonstration, to expert software development, to training machine learning models. By focusing on human capability in all of these ways to capture process knowledge, this area aims to accelerate the use of automation in everyday settings.
Artificial Intelligence
The Artificial Intelligence area takes a human-centered approach to create ways to improve machine intelligence — enabling natural, effective communication and collaboration between humans and AI systems. Our research centers around intersections of natural language processing, computer vision, machine learning, robotics, cognitive modeling, and knowledge representation and reasoning to expand the ways in which AI can support complex human endeavors.

People

Area Directors


Steve Oney is an Assistant Professor in the School of Information at the University of Michigan (with a courtesy appointment in Computer Science and Engineering). In his research, Professor Oney designs tools and techniques to make computer programming easier and more accessible—particularly for non-programmers and for novice programmers. Most recently, his research has focused on creating tools for User Interface (UI) development and tools for improving collaboration between remote programming teams.

Role: Area Director, Encoding Knowledge

Website
Jessie Yang is an Assistant Professor in the Department of Industrial and Operations Engineering. She earned a PhD (2014) and a MEng (2009) in Mechanical and Aerospace Engineering (Human Factors) and a BEng from Electrical and Electronic Engineering (2006), all from Nanyang Technological University, Singapore. Dr. Yang directs the Interaction and Collaboration Research Lab. Her research interests include human factors in high-risk scenarios, human-autonomy/robot interaction and user experience design. 

Role: Area Director, Human Factors in Teams

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Walter S. Lasecki creates systems that use both human and machine intelligence to solve problems quickly and reliably. He has helped introduce the ideas of continuous, real-time, and instantaneous crowdsourcing. These approaches leverage the “crowd agent” model that he previously introduced, which uses computer-mediated groups of people submitting input simultaneously to create a collective intelligence capable of completing tasks better than any constituent member. He Directs the Center for Hybrid Intelligence Systems.

Role: Area Director, Human Computation; Director, HyIntS Center

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Joyce Chai is a Professor in the Department of Electrical Engineering and Computer Science. She bridges the worlds of computer and cognitive sciences through her efforts to improve communication between humans and robots. New to U-M this year, she’s led the Language and Interaction Research (LAIR) Group at Michigan State University since 2003 with the goal of allowing robots to continuously learn about their environment from humans with no prior expertise. She brings this ambition to the classroom, teaching core AI courses as well as some on natural language processing and language interaction.

Role: Area Director, Artificial Intelligence

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Robert Hampshire is research assistant professor in UMTRI’s Human Factors group.  He received a PhD in Operations Research and Financial Engineering from Princeton University in 2007. His research focuses on management,  policy, modeling, and optimization of mobility services such as smart parking, connected vehicles, autonomous vehicles, ride sharing, bike sharing, car sharing and person-2-person car sharing. This work is supported by the National Science Foundation, U.S. Department of Transportation, industry partners and several nonprofit foundations. He uses statistics, stochastic modeling, simulation and dynamic optimization to develop design and management strategies.  

Role: Area Director, Tasking and Optimization

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Members

Mark Ackerman
George Herbert Mead Collegiate Professor of Human-Computer Interaction
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Julie Hui
Assistant Professor of Information
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Cliff Lampe
Professor of Information
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Eytan Adar
Associate Professor of Information and CSE
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Justin Johnson
Assistant Professor, Computer Science & Engineering
Carol Menassa
Associate Professor, Civil and Environmental Engienering
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Robin Brewer
Assistant Professor of Information
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Matt Kay
Assistant Professor of Information and CSE
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Stephanie O’Keefe
CSE Research Area Specialist
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Christopher Brooks
Research Assistant Professor of Information
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Vineet Kamat
Professor, Civil and Environmental Engineering
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Sun Young Park
Assistant Professor of Art & Design and Information
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Eric Gilbert
John Derby Evans Endowed Professor of Information
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Danai Koutra
Assistant Professor, Computer Science & Engineering
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Arvind Rao
Associate Professor, Computational Medicine & Bioinformatics, Radiation Oncology, and Biomedical Engineering
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Jonathan Kummerfeld
Research Fellow, Computer Science & Engineering
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Lionel Robert
Associate Professor of Information
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Nikola Banovic
Assistant Professor, Computer Science & Engineering
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Contact

Walter S. Lasecki
Center Director
Website

General information: hyints-contact@umich.edu