The Center for Human-Computer Interaction is an interdisciplinary research center jointly sponsored by the Institute for Creativity, Arts, and Technology; and the Institute for Critical Technology and Applied Science at Virginia Tech.

3D Experiences

The 3D Experiences research area comprises CHCI faculty from a diverse set of research domains and with interests in interaction techniques, fidelity, perception and cues, visualization of sensor data, the power of place, situated cognition, affect, situational awareness, sonification, and sense making, among others. This team of faculty has formed to coalesce effort around areas of common interest in order to become more than the sum of its constituent parts. 3D Experiences research threads include:

  • Perception with large-scale, physical navigation
  • Collaborative awareness
  • Sense making
  • Visualization design
  • Sonification design
  • Going beyond physical space
  • Combining human sense making with machine learning for 3D data visualization
These technologies, in conjunction with relevant theoretical foundations, permit us to address a variety of challenges in decision support, situation awareness, and the design of new work and command environments.

Social Informatics

The Social Informatics research thrust focuses on information and communication tools in interpersonal, cultural or institutional contexts. This is also an interdisciplinary group with faculty in Computer Science, Communication, School of Visual Arts (SOVA), English, and Industrial and Systems Engineering (ISE). While individually engaged in research on interaction in social media, education, social settings, design, and art, to name a few, the affiliated faculty are collectively exploring how to redefine interaction – its practices and values.

These goals and perspectives may require evolution of even the central tenets of the design of human-computer interaction. We must actively observe, examine and understand what we are doing with technology, and what we could do differently in anticipation of social, economic and environmental impacts -- positive and negative -- on quality of life and the public interest. We collectively develop inter-, multi-, and trans-disciplinary research opportunities that promote this exploration.

Fluid 960 Grid System, created by Stephen Bau, based on the 960 Grid System by Nathan Smith. Released under the GPL / MIT Licenses.