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.

View Current Research Projects

Photo of Saeed Abdullah

Assistant Professor of Information Sciences and Technology

E329 Westgate Building

(814) 867-0270

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Photo of Mahir Akgun

Assistant Teaching Professor of Information Sciences and Technology

E389A Westgate Building

(814) 865-9120

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Photo of Syed Billah

Assistant Professor of Information Sciences and Technology

E308 Westgate Building

(814) 865-3961

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Photo of Guoray Cai

Associate Professor of Information Sciences and Technology

E321 Westgate Building

(814) 865-4448

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Photo of John M. Carroll

Distinguished Professor of Information Sciences and Technology

E319 Westgate Building

(814) 863-2476

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Photo of Chao-Hsien Chu

Professor of Information Sciences and Technology

E327 Westgate Building

(814) 865-4446

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Photo of Xinning Gui

Assistant Professor of Information Sciences and Technology

E304B Westgate Building

(814) 863-9539

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Photo of Benjamin Hanrahan

Assistant Professor of Information Sciences and Technology

E383 Westgate Building

(814) 867-4211

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Photo of Steven Haynes

Teaching Professor of Information Sciences and Technology

E358 Westgate Building

(814) 865-7886

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Photo of Michael Hills

Associate Teaching Professor of Information Sciences and Technology

E334 Westgate Building

(814) 863-6316

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Photo of Ting-Hao (Kenneth) Huang

Assistant Professor of Information Sciences and Technology

E357 Westgate Building

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Photo of Johnson Kinyua

Associate Teaching Professor of Information Sciences and Technology

E371 Westgate Building

(814) 865-4570

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Photo of Yubo Kou

Assistant Professor of Information Sciences and Technology

E306 Westgate Building

(814) 863-3407

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Photo of Alison R. Murphy

Assistant Teaching Professor of Information Sciences and Technology

E361 Westgate Building

(814) 865-1045

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Photo of Rosalie Ocker

Teaching Professor of Information Sciences and Technology

E391 Westgate Building

(814) 863-8851

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Photo of Frank Ritter

Professor of Information Sciences and Technology

E309 Westgate Building

(814) 865-4453

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Photo of Mary Beth Rosson

Director, Graduate Programs

E304C Westgate Building

(814) 863-2478

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Photo of Linhai Song

Assistant Professor of Information Sciences and Technology

305H Steam Services Building

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Photo of Chun-Hua Tsai

Assistant Research Professor

E374 Westgate Building

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Photo of James Z. Wang

Professor of Information Sciences and Technology

E354 Westgate Building

(814) 865-7889

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Photo of Dinghao Wu

Associate Professor of Information Sciences and Technology

E355 Westgate Building

(814) 867-3612

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Photo of Xiaolong (Luke) Zhang

Associate Professor of Information Sciences and Technology

E323 Westgate Building

(814) 863-9462

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Office of Research

E339 Westgate Building
University Park, PA 16802

researchadmin@ist.psu.edu
(814) 863-6801

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Research Labs and Centers

Applied Cognitive Science Laboratory

The Applied Cognitive Science Laboratory aims to understand how the mind works by modeling its output and process through precise, computational, predictive descriptions. Our projects focus on models that explain human behavior for testing human-computer interfaces, expand our understanding of network formation, and explore how moderators such as caffeine and stress influence behavior. Our simulations show how the mind interacts with networked teams and communities and how these properties give rise to emergent group cognition.

Artificial Intelligence Research Laboratory

The Artificial Intelligence Research Laboratory conducts research in artificial intelligence, machine learning, data mining, information integration, and semantic web. Its projects explore applications in bioinformatics, engineering informatics, cheminformatics, materials informatics, social informatics, and related areas.

Center for Human-Computer Interaction

The Center for Human-Computer Interaction is an interdisciplinary organizational unit for human-computer interaction research, instruction, and outreach within Penn State and beyond. The center seeks to leverage and integrate diverse HCI activities throughout the University to facilitate interdisciplinary faculty interaction relating to HCI issues, problems, and opportunities. Our work currently focuses on software and information design, end-user programming and design, collaborative learning, online communities, training and instructional design, community health applications, and many other areas.

Collaboration and Innovation Laboratory

The Collaboration and Innovation Laboratory works in concert with the Center for Human-Computer Interaction. Our research addresses a wide range of challenge areas in which people collectively and individually use information technology to learn and solve problems. Our work currently focuses on software and information design, end-user programming and design, collaborative learning, online communities, training and instructional design, community health applications, and many other areas.

Crowd-AI Laboratory

The Crowd-AI Laboratory focuses on combining artificial intelligence with crowdsourcing to create systems that are more usable, robust, and intelligent. Our researchers work on real-time crowdsourcing, conversational agents, technical human-computer interaction, and natural language processing to understand how people can use automated technologies in context and how automated technologies serve people‚Äôs practical needs.

Knowledge Visualization Laboratory

The Knowledge Visualization Laboratory seeks to understand the frontier issues in visual analytics, an area with a goal to augment data-driven decision-making by bridging computational capacities of computing systems and analytical skills of human beings. Our research focuses on the visualization-based tools that have become essential to human-data interaction by exploring the relevant cognitive theories, such as visual cognition, problem-solving theories, and learning theories, that impact human-computer interaction and decision-making.

User Agency Lab

The User Agency Lab studies issues involving how information, user information, and systems structure influence user agency. Current and past projects have explored ride sharing, collaborative documents, crowdsourcing, and social media.

Learn more: User Agency Lab
Wellbeing & Health Innovation Laboratory

The Wellbeing & Health Innovation Laboratory aims to develop novel human-computer interaction and UbiComp technologies to improve health and wellbeing at scale. Our research leverages mobile phones, sensors, and online data to passively model health behaviors and contexts. We also design data-driven and just-in-time interventions with a focus on sustained engagement. Our interdisciplinary research includes passive sensing of sleep and circadian disruption, relapse detection in bipolar disorder, and using Amazon Alexa for effective PTSD interventions.