Writing up your eye tracking results - research paper

Eye tracking Scientific article

In order to ensure that your eye tracking experiment can be correctly interpreted and replicated, it is important to report the following information in the methods section of your research paper:

  • Test evironment. Describe the type of room, geometry of your setup, lighting conditions surrounding your test. 
  • Geometry of the stimulus. Indicate the size and position of the different elements. Most commonly the unit used is visual degrees.
  • Details about the eye tracking system. Model, Sampling rate, firmware. Software used and version.
  • Details about the population used in the test. Age, eye color, eye shape, visual aids.
  • Calibration and Calibration verification procedure. Report Accuracy and precision values.
  • Include details on timing. If timing is important to your experiment include the information of the timing performance of your system.For more details on Tobii Pro eye tracking system timing please read the following whitepaper Tobii Eye Tracking Timing.pdf .
  • Missing data procedure. 
  • Include details on how the eye movements were processed. Specify which filters and event detection algorthims were use, and report the thresholds and settings.
  • Information about how AOIs were defined. Size, shape and location, as well as rational for their creation.
  • Specifiy data reduction parameters. What kind of eye tracking measures were used, and how were they calculated. 
  • Information about exclusion criteria

Adapted from "Infancy Guidelines for Publishing Eye-Tracking Data" by Lisa M Oakes.

Related Articles

  • Reporting Eye Tracking Results - Commercial reports

    Get a few tips on how to write up and present the findings from your eye tracking study.

    Consumer insights Human–computer interaction User Experience
  • Basics of eye tracking and Biometric data co-registration: Shared events

    Learn the main concepts behind eye tracking and biometric data co-registration: Shared events and data synchronization

    Emotion Cognitive load Cognition Arousal Engagement StimTracker
  • What does eye tracking data tell us?

    Eye tracking analysis is based on the important assumption that there is a relationship between fixations, our gaze and what we are thinking about. However, there are a few factors that need to be considered for this assumption to be true which will be discussed in this section. 

    Eye tracking Attention Gaze data