Learning Center

Get started or go deeper with your research by exploring our extensive learning topics, attending our webinars or purchasing a training with one of our experts.

Programs and courses

Tobii Pro onboarding program

An intensive 4-week online program that will equip you with the mindset, techniques, and tools to kick-start your journey with eye tracking. 

  • Design your first study 
  • Master your eye tracking equipment
  • Collect your first data set
  • Explore and analyse eye tracking data
  • Report and present the findings
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Eye Tracking Research Toolbox

A 3-day onsite course, taught by experts, designed to improve your eye tracking research skills.

  • Choosing the right eye tracker
  • The ideal eye-tracking experiment
  • The data-quality and data-analysis perspectives in experiment design
  • Reading and reporting eye-tracking data
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Articles and whitepapers

Eye tracking essentials

Start here if you wish to get the background knowledge needed to understand eye tracking research. 

  • How an eye tracker works
  • How the eye and visual system works
  • How do we process and select visual information
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Steps in an eye tracking study

This section guides you through the five key stages of a typical eye tracking study.

  • Designing a study
  • Setting up your eye tracking system
  • Running a study
  • Working with eye tracking data
  • Interpreting and reporting the findings
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Other resources


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Learn from our eye tracking experts.

We provide the following training services, which one suits your needs?

Latest publications

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  • Nakano, T., & Kitazawa, S. (2017). Development of long-term event memory in preverbal infants: an eye-tracking study. Scientific Reports, 7, 44086. https://doi.org/10.1038/srep44086
  • Liao, H., & Dong, W. (2017). An Exploratory Study Investigating Gender Effects on Using 3D Maps for Spatial Orientation in Wayfinding. ISPRS International Journal of Geo-Information, 6(3), 60. https://doi.org/10.3390/ijgi6030060
  • Zemblys, R., Niehorster, D. C., Komogortsev, O., & Holmqvist, K. (2017). Using machine learning to detect events in eye-tracking data. Behavior Research Methods. https://doi.org/10.3758/s13428-017-0860-3