FAQ: What determines whether a validation is "GOOD", "FAIR" or "POOR"?

[Sam]

The criteria that the system uses to determine whether a validation is GOOD, FAIR, or POOR are as follows:

• GOOD (green background): Errors are acceptable (worst point error < 1.5°, avg error < 1.0°)
  
• FAIR (gray background): Errors are moderate, calibration could be improved (worst point error between 1.5° and 2.0°, avg error between 1.0° and 1.5°)
  
• POOR (red background): Errors are too high for useful eye tracking in most scenarios (worst point error > 2.0°, avg error >1.5°)
  

Depending on the task and the participant population it may be necessary to hold participant to a standard above or below the "GOOD" threshold. We often suggest aiming for less than 0.5° average error and less than 1.0° maximum error for adult participant with healthy vision. For infants and young children or participants with vision disorders, and depending on the size of your stimuli, it may allow for greater amounts of error.