The College of Media has dedicated research spaces in both the Armory Building and Gregory Hall.
Illinois Lab for Computational Analytics in Media (ILCAM)
Lab manager: Assistant Professor Margaret Ng
Internal guidelines: https://docs.google.com/document/d/1RKIa2IOa8nunZ4Mpjqra2AJak8fBtC0xPZ8fUn6vRIo/edit
Illinois Lab for Computational Analytics in Media aims to be an incubator for interdisciplinary research and education in the study of media. With the infrastructure ready, this worktop is the beginning of the lab’s effort to make data science in the study of media more prominent throughout the University of Illinois campus, enabling the College of Media to be one of the important leaders in the campuswide Illinois Data Science Initiative. Fully functional as of Fall 2019, renovations included a conference table and a wall-mount monitor for meeting/presentation, a working space (two Macs and two PCs), and two cubicles for conducting experiments.
Members may use the lab to design their studies (e.g., use MediaLab or other software on machines in the lab) or for data collection. The AdLab is a place where advertising researchers can reserve space to run experiments and collect data on computers equipped with Sona System, which manages a cloud-based advertising research subject pool. (The AdLab is pictured above.)
Technocultures Lab and Qualitative Research Lab
The Technocultures Lab and Qualitative Research Lab is a shared research space. In the Technocultures Lab, interdisciplinary groups discuss ideas for projects related to digital cultures, science and technology in a global context, and more. The Qualitative Research Lab is a space for researchers to hold focus groups, collect and analyze data, and more.
MAd (Media and Advertising) Lab
43 Greg Hall
Lab manager: Professor Kevin Wise
This lab has four rooms with psychophysiology, eye-tracking, and virtual reality capabilities. Researchers are able to measure heart rate, skin conductance, and facial electromyography (EMG), which are measures of attention, arousal, and emotion, respectively. They can also measure various indicators of eye movement such as gaze pattern, fixation duration, and saccades (eye movements between fixations). All of these indicators provide insight into what people are thinking and feeling in real time as they engage with various media. The virtual reality workstation is being used for studies on different applications of VR/AR in media and consumer behavior and human-technology interaction.