Human-Centered Technology integrates human sciences with computer science to design computing systems with a human focus. Researchers studying HCTD broadly investigate how the relationship between people, groups, societies and technology can inform the design of computing systems that support human’s activities and enrich their lives. By implementing and evaluating computing systems in terms of their usability and accessibility, faculty are able to make critical inquiries into the implications of computing system’s increasing presence in people’s everyday lives
Social science and technology researchers focus on the intersection behaviors, information and technology.
Games for Entertainment and Learning Lab designs innovative prototypes, techniques and complete games for entertainment and learning.
The Colleges of Communication Arts & Sciences, Engineering, and Nursing and Michigan State University have joined forces to create the Trifecta Initiative: a winning partnership of three innovative colleges. With support and investment from all three colleges, the Office of the Provost, and the Office of the Vice President for Research and Graduate Studies, Trifecta is a launchpad for interdisciplinary development of innovative computing and communication technologies to improve healthcare and address health disparities.
The Quello Center for Telecommunication Management and Law is focused on stimulating and informing debate on media, communication and information policy for our digital age.
From discrete physical computational devices to mixed reality systems and immersive virtual environments, our research works to support individual needs, through teams as goal-oriented groups, to society as an unstructured collection of connected people.
Creativity, critical thinking and an entrepreneurial spirit come together at the MSU School of Journalism, where students are training to become the storytellers of the future.Read more
Dr. Emilee Rader is an Associate Professor in the Department of Media and Information. Her research is focused on understanding and solving sociotechnical problems that arise in algorithmic systems which use large datasets and machine learning to make inferences and predictions about people.
Rick Wash is an Associate Professor at Michigan State University in the School of Journalism and the Department of Media and Information. His work involves understanding how people think about their interactions with computers, and their interactions with other people through computers, with a particular focus on security and collaborative systems.