Projects Involving Analysis of Eye-Tracking and Brain Activity Data

Eye-Tracking and Video Games: Pilot

The goal was to determine if eye-tracking could be used to determine where study participants look while they play a 1st-person interactive video game.  The video game was based on the UnReal gaming engine.  For this gaming engine, custom levels were created such that each level elicits a particular type of cognition.  Equipment used included a CanAssist eye-tracking. The researchers on this project were: Philip Michael Zeman, Sharon Lee, Mehul Ghandi, Lauren Stewart, and Ron Skelton.

Data were collected from approximately 30 university student participants.

The results will be available in publication form in the near future.

Eye-Tracking + Electroencephalographic Data Acquisition and Video Games: Pilot

The goal was to determine if eye-tracking and electroencephalographic (EEG) data collection could be combined in a study of the cognitive brain activity and eye-movement while participants played a 1st-person video game.  This video game was based on the UnReal gaming engine, for which custom levels were created.  Each level was designed to elicit a particular type of cognition.  The analysis of the EEG data employed analysis techniques created during Philip Michael Zeman's PhD at the University of Victoria.  Equipment used included a CanAssist eye-tracking system and a BioSemi Active-2 EEG acquisition system.  The researchers on this project were: Philip Michael Zeman, Sharon Lee, and Ron Skelton.

Data were collected from approximately 20 university student participants.

The results will be available in publication form in the near future.

Eye-tracking + Electroencephalographic Data Acquisition and Video Games: Full Study

The goals of this study were many-fold.  Our main objective was to replicate findings of the previous pilot studies.  That is, to find similar patterns of eye-tracking results and EEG results as was found in our two pilot studies.  Our second objective was to determine if there are differences between gender, and if there are differences between people classified as healthy and classified as having a traumatic brain injury. The analysis of the EEG data employed analysis techniques created during Philip Michael Zeman's PhD at the University of Victoria.  Analysis of eye-tracking data employed techniques that were devised by in our prior eye-tracking studies.  Equipment used included a CanAssist eye-tracking system and a BioSemi Active-2 EEG acquisition system.  The researchers on this project were: Philip Michael Zeman, Sharon Lee, Susan Gillingham, and Ron Skelton.

Data were collected from approximately 80 participants. Approximately 1/3 of these participants have a brain injury of some kind or another.

We are currently analyzing the data collected in this study.