Cognitive Psychology

Eye tracking is used as a tool to study cognitive processes that affect behavior such as attention, memory, perception, language, and more.

Understanding cognitive processes

Eye tracking is an unobtrusive method to gain deeper understanding of cognitive processes, such as problem solving and decision making. By measuring eye movements, researchers get insight into the ongoing mental processes during tasks.
Eye tracking is used to study:

  • Attention
  • Memory
  • Language
  • Problem solving
  • Decision making
A person in front of a PC with Tobii Pro X3-120 mounted on it.


Audi Attitudes

Audi's Attitudes, a corporate social responsibility program, wanted to learn more about the phenomenon of driving without awareness. Wearable eye trackers from Tobii Pro enabled their researchers to gain insight into driving behavior and occurrences that are often forgotten by drivers. The data revealed significant changes in gaze patterns during phases of subconscious driving and helped identify situations and external factors causing the issue. Read more

Osaka University

Researchers at Osaka University developed a quantitative method for identifying individuals with autism by analyzing temporo-spatial gaze patterns, which could help experts diagnose the issue earlier. Read more

Rett Syndrome Center at Montefiore

At the Rett Syndrome Center at Montefiore, NY, eye tracking technology was used in order to compare patterns of visual processing in Rett Syndrome patients and non-Rett control subjects. Read more

Products and services

Tobii Pro offers eye tracking systems for psychology and neuroscience studies in a controlled research setting, such as a lab, as well as examining human behavior in real-world environments, like in an office or home. Analyzing data is made easier with our various software solutions and their ability to work with other companies' solutions. Read more

  • Ma, Z., Vickers, S., Istance, H., Ackland, S., Zhao, X., & Wang, W. (2016). What were we all looking at? Identifying objects of collective visual attention. Journal of Experimental & Theoretical Artificial Intelligence, 28(3), 547–560.
  • Suchan, J., & Bhatt, M. (2016). THE GEOMETRY OF A SCENE: On Deep Semantics for Visual Perception Driven Cognitive Film Studies. In WACV 2016. Lake Placid, NY, USA.
  • Sharma, C., Bhavsar, P., Srinivasan, B., & Srinivasan, R. (2016). Eye gaze movement studies of control room operators: A novel approach to improve process safety. Computers & Chemical Engineering, 85, 43–57.

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