The iVizLab in "Cognitive Based Interactive or Intelligent Visualization" is grounded in real-time 3D animation, visualization, human modeling and AI techniques but also strives to encompass work from the areas of cognition, perception science, and knowledge spaces with the aim of creating more expressively engaging systems that enhance communication, collaboration and learning.
"an interdisciplinary research lab, which models
human expression, gesture, and creativity using computer graphics, gaming and simulation expertise
to create more engaging
knowledge, communication and expression systems"
Please view the research pages as well as the publications and people page to view the work.
"much of the iVizLab research uses
'knowledge domain' or 'artificial intelligence' approaches"
Current Research Areas:
Facial, Character and Creature Based Systems
Using 3d facial animation techniques the iVizLab is conducting several projects based on understanding the human face and body and how it communicates both for social science understanding and also to use these human centered techniques in computer based UI, web and communication systems. We are also using AI-based creature simulation systems.
3D UI & Visualization
Taking a natural human metaphor approach, the iVizLab researchers are interested in creating next generation 3D interaction and visualization systems for social communication, knowledge emergence and knowledge understanding. This work is synergistic with our avatar and agents work - as we are interesting in how we can combine social space and information space.
Avatars and Agents
We have ongoing work with 3D avatar communities and worlds as well as our work with character-based agent systems.
Encoding social communication & implicit knowledge
With research on encoding/remapping explicit and implicit communication as well as expression forms such as voice, gesture, emotion and expression, the goal is to create more human centered expression and communication systems.
In most of the research groups above, our researchers use intelligent systems; systems with built in knowledge space or intelligence to achieve their goals. In some cases this is a parameterized knowledge space (i.e. a knowledge of behavior for our facial and agent work), or Artificial Intelligent (AI) systems using rule-based approaches (musicface) or genetic algorithms.