Data Perceptualization and User Experience Research
Data Perceptualization and Human-Computer Interface Research is a cutting-edge computer science research program in data perceptualization, human interface and computer graphics. It focuses on advancing the equitable and accessible representations and interactions of complex data sets. It explores innovative techniques for rendering data in intuitive and aesthetically pleasing ways, by enhancing user experiences through interactive interfaces. By leveraging state-of-the-art computational technologies, this program aims to bridge the gap between data analytics and human cognition, enabling more effective data-driven decision-making and communication.
Academics and Coursework
In addition to broader requirements for a CS undergraduate or graduate degree, students may specialize their education around Data Perceptualization and User Experience topics via these undergraduate and graduate level courses:
- CSC 630: Computer Graphics Systems Design
- CSC 642: Human-Computer Interaction
- CSC 698: Topics in Computing - Information Visualization
- CSC 699: Independent Study
- CSC 805: Data Visualization: Concepts, Tools, Techniques, and Paradigms
- CSC 842: Human-Computer Interaction
- CSC 895: Applied Research Project
- CSC 897: Research
- CSC 898: Master's Thesis
- CSC 899: Independent Study
Faculty and Focus Areas
Zainab Agha
Human-computer interaction, online safety, privacy, social computing
Wes Bethel
High performance computing, scientific visualization, computer graphics
Sanika Doolani
Human Computer Interaction, User Experience, XR/VR/AR, Immersive Media
Shah Rukh Humayoun
Information visualization, visual analytics, human-computer interaction, virtual reality, software engineering
Ilmi Yoon
Computer graphics, virtual reality, augmented reality, gamification