However, little is known about human classification in eye tracking. In the gold standard approach, deviations from the human classifications are considered to be due to mistakes of the algorithm. The procedure is often as follows: Two or three human coders and the algorithm classify a significant quantity of data.
Manual classification is still a common method to evaluate event detection algorithms.
