While developing the new method, the study evaluated 17 kids with ASD and 23 neuro-typical kids. The average chronological ages of these kids grouped in neuro-typical and ASD were 5.5 and 4.8 respectively.

Each kid was shown 44 pictures of faces on a 19-inch screen which was linked to an eye-tracking device. This device identified and interpreted the areas on stimuli at which each kid was gazing through reflection and emission of a wave from the iris.

The pictures were separated into seven areas of interest (AOI) in which each kid-focused his stare: the left eye, the right eye, beneath the left eye, beneath the right eye, mouth, nose and other areas of the screen.

The researchers from the University of Waterloo aimed to understand not just the average time each kid stared at each key AOI, but also, the pattern of their eye movement to scan the faces. To actualize that information, the study group utilized four different concepts from network analysis to determine the varying degree of importance each child placed on the seven key AOIs during the exploration of the facial features.

The initial concept evaluated the number of AOIs that the child directly stared to and from a particular area of interest. The second concept determined how often a specific AOI is involved when the kid moved their eyes between two other different AOIs quickly. The third concept relates to how quick each kid can navigate their eyes from one AOI to other AOIs. The last idea which is the fourth evaluates the importance of an AOI, in the aspects of face scanning and eye movement by the number of other important AOIs which shares direct transitions with it.