Graphics, Visualization, and HCI
Increasingly present in daily life, interactive technology needs to be designed effectively to avoid adverse consequences such as loss of life, productivity loss, and negative experiences. To solve these monumental problems, our researchers invent, implement, and study new forms of interaction, automation, and visualization techniques.
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 Microsoft, Intel, Google, and Facebook, our research synthesizes knowledge from machine learning, psychology, design, and the learning sciences. In graphics and visualization, our research includes modeling and animation of natural phenomena, computational topology, graphics hardware utilization, image-based rendering, implicit surfaces, procedural texturing, and surface parameterization.
CS Faculty and Their Research Interests
|Brian P. Bailey||human-computer interfaces, creativity support tools, online innovation communities, collaboration in multi-device environments|
|David Forsyth||graphics, projection mapping|
|Wai-Tat Fu||human-computer interaction, information systems, knowledge representation|
|John Hart||graphics, computational topology, scientific visualization|
|Karrie Karahalios||social computing, social network analysis, social spaces, smart infrastructure|
|Alex Kirlik||human factors, cognitive engineering|
|Ranjitha Kumar||data-driven design, human-computer interaction, data mining, machine learning, Web|
|Steven M. LaValle||virtual reality, human perception|
|Hari Sundaram||social and information networks, wearable sensors, computational advertising|
|Donna Cox, NCSA and School of Art & Design||scientific visualization, computer graphics, information design|
|Leslie Gasser, Graduate School of Library & Information Science||evolution and dynamics of information and networks; social analysis of information/communication technologies|
|Michael Twidale, Graduate School of Library and Information Science||computer supported collaboration|
Graphics, Visualization, and Human-Computer Interaction Research Efforts and Groups
- Center for People and Infrastructure in the Coordinated Science Laboratory
- Computer Graphics Illinois
- Human Computer Intelligent Interaction in the Beckman Institute
- Illinois HCI
The Graphics seminar meets weekly to present and discuss recent research papers in computer graphics. Course credit of one hour is available, but requires attendance at the seminars and presentation of one paper. Announcements of upcoming presentations are made to firstname.lastname@example.org, and you can subscribe to that mailing list.
The HCI seminar brings in emerging and established intellectual leaders in the field of human-computer interaction to present their latest research findings and visions. It also provides a lively forum for our students to practice conference, defense, and job talks and for colleagues to seek collaborators. Subscribe to the mailing list for the seminar.
Graphics, Visualization, and Human-Computer Interaction Research News
ACM SIGMOD Blog: CS Assistant Professor Aditya Parameswaran creates his own media with this blog post on the importance of information visualization in data science, and a couple of key problems in dealing with data as it increases in scale.
Daily Beast -- Professor Karrie Karahalios helps explain how machine learning algorithms at YouTube might restrict or demonetize LGBTQ video content. “The hard part as an outsider is figuring out if it is happening internally, meaning that explicit rules were set, or if it has to do with behavior from clicks from the outside world.”
SIGGRAPH Spotlight -- CS Professor Steven M. LaValle talks about the history and future of computer graphics and changes in the field on the podcast from ACM SIGGRAPH. LaValle joins at about two minutes into the podcast.