PhD Human-Centered Computing

The Ph.D. program in Human-Centered Computing (HCC) in the School of Computing is the first of its kind, bringing together studies in artificial intelligence, cognitive science, human-computer interaction (HCI), learning sciences and technology, and social computing. The HCC program draws on Georgia Tech's strengths in a diverse range of academic fields, including computer science, digital media, architecture, engineering, assistive technology, engineering, human factors, industrial design, industrial and systems engineering, music, psychology, and public policy. HCC students may have backgrounds in any of the above areas, as well as other related disciplines, such as anthropology, cultural studies, information science, information technology, and sociology.

The focus of the Ph.D. program in Human-Centered Computing is the intersection of computing and people - where computing includes not just computers but also different kinds of computational artifacts from games to mobile applications, from robots to bionics and mobile applications; and people includes not only individuals but also teams, organizations, societies and cultures. Our HCC Ph.D. program attracts the best and brightest students from around the world, and prepares them for careers in academia, industry and government.

Research on human-centered computing at Georgia Tech covers a wide range of themes that we broadly classify into three categories: Cognition, Learning and Creativity; Human-Computer Interaction; and Social Computing.

Cognition, Learning and Creativity

Cognition, Learning and Creativity (CLC) brings together faculty and laboratories from artificial intelligence, cognitive science, learning science and technology, computer science education, and design computing and cognition. Collectively we study human cognition, learning and creativity; social and cultural ecosystems of cognition, learning and creativity; computational models of cognition, learning and creativity; and computational tools that aid, augment or amplify cognition, learning and creativity.

CLC faculty includes Rosa Arriaga, Amy Bruckman, Betsy DiSalvo, Ellen Do, Ashok Goel, Mark Guzdial, Brian Magerko, Colin Potts, and Mark Riedl.

Human-Computer Interaction

Human-Computer Interaction (HCI) is the study of how people use computers for work and for play throughout their lives. HCI research seeks to develop user interfaces that are useful, usable, and enjoyable. It focuses on activities ranging from design to development to evaluation of interactive computer systems, with a goal of understanding how computers and technology affect people and society.

HCI faculty includes Gregory Abowd, Rosa Arriaga, Rahul Basole, Michael Best, Carl DiSalvo, Ellen Do, Keith Edwards, Alex Endert, James Foley, Rebecca Grinter, Mark Guzdial, Blair MacIntyre, Melody Moore Jackson, Elizabeth Mynatt, Colin Potts, Thad Starner, John Stasko, Bruce Walker, Lauren Wilcox, and Ellen Zegura.

Social Computing

Social Computing is a relatively new area at the intersection of computing and social behavior. Computing is a social activity. Online social networks are complex, cognitive-cultural systems comprising people and technology. Social computing studies online social behavior, computations carried out by networks of people, as well as social behavior through the networks.

Social computing faculty includes Rahul Basole, Amy Bruckman, Munmun De Choudhury, Irfan Essa, and Eric Gilbert.

HCC faculty often works on multiple projects that often span or go beyond these categories. To find out more about HCC Ph.D. faculty, students, and laboratories, please visit the HCC PhD Community @ Georgia Tech website.