Carnegie Mellon University

Women of HCII

Below are some of the astounding faculty and graduate students of the Human-Computer Interaction Institute!


Carolyn Rose

Professor Carolyn Rose

Computer Supported Cooperative Learning, Language Technologies, Education

Carolyn Penstein Rose is an Assistant Professor with a joint appointment between the Language Technologies Institute and the Human-Computer Interaction Institute. In that role, she leads several research projects in the area of Computer Supported Collaborative Learning and teaches courses in machine learning, discourse analysis, automatic summarization, computer supported collaborative learning, and research communication.

Roberta Klatzky

Professor Roberta Klatzky

Guided action, Haptic Perception, Spatial Congnition

Professor Roberta Klatzky's research areas are perceptually guided action, haptic perception (touch), and spatial cognition (thinking about space).  She emphasizes that people perceive the world through multiple senses, that perception interacts with thinking, and that what people perceive -- rightly or wrongly -- is the basis for how they act on their environment. Her research has been applied to tele-manipulation, image-guided surgery, and navigation aids for the blind.

Graduate Students

Fannie Liu

Graduate student Fannie Liu

Fannie Liu is a Ph.D. student in the Human-Computer Interaction Institute, and is part of the Connected Experience and eHeart Labs. She researches and builds social technologies that enable experience sharing as a means to facilitate connection and empathy between people. Fannie has experience working at Snap Inc. and LinkedIn, and is a recipient of CMU’s Center for Machine Learning and Health fellowship in Digital Health.

Kristin Williams

Graduate student Kristin Williams

Kristin Williams is a Ph.D. student in the Human-Computer Interaction Institute. She investigates how we can upcycle everyday objects using computing abilities. In particular, she designs and creates systems using tangible computing, internet of things paradigms (IoT), and novel measures of personal data to give households the ability to modify the home with new kinds of computational properties. This work enables users to make 'dumb' objects 'smart' to realize new practices, division of labor, and alternative social arrangements in the home.

Felicia Ng

Graduate student Felicia Ng

Felicia Ng is a PhD student in the Human-Computer Interaction Institute. Her research focuses on social computing and computer-supported cooperative work, especially in the domain of collaborative creativity. She has worked for Facebook as a User Experience Research Intern and as a Research Analyst, as well as for Microsoft as a Research Intern. Felicia received her M.S. in Human-Computer Interaction from Carnegie Mellon University and her B.A. in Psychology from Princeton University.