Human-Computer Interaction

Our research in human-computer interaction focuses on creating and evaluating interactive systems. Acting as user advocates first and technology advocates second, we create advanced user interfaces and applications that incorporate mobile and collaborative technologies, interactive visualizations, and a wide range of interactions to improve the chance that new information technologies can be used and enjoyed by people for real purposes. We do this by studying the social, cognitive, and affective aspects of the user experience, as well as consequences for communities, organizations, and society. Specifically, we explore applications in areas such as behavior change for health and wellness, peer-to-peer exchange systems, collaborative learning environments, and geo-deliberation and decision-making in local communities.

Research-Active Faculty
Photo of Saeed Abdullah

Assistant Professor

Pervasive Health Technologies; Ubiquitous Computing; Human-Computer Interaction

Photo of Jeffrey Bardzell

Professor and Associate Dean for Faculty and Graduate Affairs

Photo of Syed Billah

Assistant Professor

Human-Computer Interaction; Intelligent Interaction System; Accessible Computing

Photo of Guoray Cai

Associate Professor

Geographical information science; Visual analytics; Online democracy and deliberation

Photo of Jie Cai

Assistant Research Professor

CSCW; Human-Computer Interaction; Content Moderation

Photo of John M. Carroll

Distinguished Professor of Information Sciences and Technology

Mediated Participation and Coproduction; Community Innovation and Community Data; Health Informatics and Wellbeing

Photo of Kelley Cotter

Assistant Professor

Critical Algorithm Studies; Critical Data Studies; Digital Literacy

Photo of Jonathan Dodge

Assistant Professor

Explainable AI; HCI

Photo of Xinning Gui

Assistant Professor

Human-Computer Interaction; Health Informatics; Computer-supported Cooperative Work

Photo of Steven Haynes

Teaching Professor

Application Development; Human-Centered Design; Human-Computer Interaction

Photo of Ting-Hao (Kenneth) Huang

Assistant Professor

Crowdsourcing & Human Computation; Crowd-AI Systems; Human-Computer Interaction

Photo of Yubo Kou

Assistant Professor

Human-computer Interaction; Computer-supported Cooperative Work; Social Computing

Photo of Priya Kumar

Assistant Professor

Privacy and agency; Digital childhood/parenting; Datafication/data power

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Cognitive Modelling and learning; Cognitive Architecture; Human-Computer Interaction

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Associate Research Professor

Photo of Sarah Stager

Assistant Teaching Professor

Trustworthy Indications of Social Interactions In-person and Online; Human-Computer Interaction; Behavioral Moderators

Photo of Andrea Tapia

Interim Dean

Crisis Informatics; Social Data Analytics; Social Theories and Methods of Information

Photo of James Wang

Distinguished Professor of Information Sciences and Technology

Biomedical Informatics; Affective Computing; Robotics and Computer Vision

Photo of Lynette (Kvasny) Yarger


Social Informatics; Future of Work; Critical Theory

Photo of Xiaolong (Luke) Zhang

Associate Professor

Information Visualization/Visual Analytics; Gesture-based User Interaction; Social Network Analysis

Recent News

Competition helps expose demographic and cultural biases in generative AI tools

Penn State’s Center for Socially Responsible Artificial Intelligence announced the winners of its first-ever “Bias-a-thon.” The competition, held Nov. 13–16, asked Penn Staters to identify prompts that led popular generative AI tools to produce biased or stereotype-reinforcing outputs.


True: Fact checkers tend to agree on validity of news claims, researchers say

Fact-checking organizations like Snopes and Politifact have generally agreed on the validity of news claims, according to researchers from the Penn State College of Information Sciences and Technology. 


What if Alexa or Siri sounded more like you? Study says you’ll like it better

The more Siri or Alexa sounds like you, the better you'll like the service, according to researchers. The multi-institutional team published their findings in the current issue of the International Journal of Human-Computer Studies.


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Office of Research

411 Eric J. Barron Innovation Hub
State College, PA 16801
(814) 863-6801