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Interactive Computing

Interacting with computers is an important part of modern life, from driving a car safely to using all the features your phone can deliver, to being able to work productively and creatively. Interactive computing studies how computers and people can cooperate effectively on any number of tasks.

Our work targets problems in social computing, design and creativity, decision making, intelligent systems, and cognitive modeling. For example, we study the transparency of algorithms controlling social media feeds, the use of robotics in domestic environments to support aging in place, and the application of crowdsourcing for creative work. Working at times with companies like Adobe, Facebook, Google, Intel, Microsoft, NVidia, and Tableau, our research synthesizes knowledge from machine learning, psychology, design, and the learning sciences to study and address important problems in society. We also work on the presentation of and interaction with information, ranging from dashboards of visualizations to VR displays of photorealistic video games.

Faculty & Affiliate Faculty

Human-Computer Interfaces, Design Thinking, Creativity, Crowdsourcing, Teamwork

Social Computing, Human-Centered AI, Data Science, Online Moderation

Scientific Visualization, Computer Graphics, Information Design

Graphics, Projection Mapping 

Data Visualization, Computer Graphics, Virtual Reality

Social Computing, Mobile Computing, Computer Supported Cooperative Work, and Crowdsourcing

Social Computing, Human Computer Interaction, Social Visualization, Assistive Technologies, Fairness and Bias in Computing

Human-Computer Interaction, Human Factors, Cognitive Science and Engineering, Modeling and Supporting Human Judgment and Decision Making, Human-Automation Interaction

Data-Driven Design, Design Mining, User-Centered Machine Learning, UI/UX, Mobile/Web Applications, Social Networks, Fashion, Emoji

Virtual Reality, Human Perception

Quality of Experience, Tele-Immersion, Multi-View Visualization, Embedded Sensors, Distributed and Parallel Systems

Voting, Improving Individual and Collective Decision Making, Information Asymmetry, MOOCs

Computer Supported Collaboration 

Usable Privacy and Security, Social Computing, Accessibility, Explainable AI

Adjunct Faculty

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