The Eye-tracking Laboratory is used by members of the Perception, Cognition, and Neuroscience research group (including interns, MSc and PhD students, postdoctoral researchers, visiting scholars and academic staff) to investigate visual cognition, reading of alphabetic and non-alphabetic languages, reading in children, young and older adults, as well as individuals special populations such as those affected by Autism Spectrum Disorder (ASD), Visual Neglect, Anxiety, and others.
In the Eye-tracking Laboratory we record participants’ eye movements to investigate a variety of aspects of human visual, linguistic and cognitive processing. The measurement of eye movements during human visual processing provides an excellent online behavioural measure from which inferences concerning current cognitive processing can be made.
By looking at patterns of eye movements, researchers aim to understand the factors which influence duration, location and number of fixations that participants make, what participants are able to process during a fixation, and the time course of such processing in relation to the properties of objects, scenes, words or sentences.
If you are interested in forming a collaboration, joining the laboratory during a research visit, or you are a prospective Ph.D. student interested in joining the team, please contact a laboratory member by email.
Professor Xuejun Bai (Tianjin Normal University, China)
Professor Guoli Yan (Tianjin Normal University, China)
Dr Manman Zhang (Tianjin Normal University, China)
Desktop Mount EyeLink 1000 Plus (SR Research): This eyetracker is the world’s most precise and accurate eye tracker, sampling binocularly at up to 2000 Hz.
EyeLink Portable Duo (SR Research): This eyetracker provides fast, accurate, flexible and reliable eye tracking, sampling binocularly at up to 2000 Hz, and can be used both in and out of the laboratory.
Dikablis head mounted perambulatory eye tracker (Ergoneers): This system provides an excellent tool for eye tracking research in dynamic environments, allowing researchers to precisely measure and analyse automatically where a person is as they engage in real world tasks.