Transition Matrix

The transition matrix node outputs tables that represent a transition matrix. Each row represents one AOI, and shows how many transitions from this AOI to another AOI (displayed per column) have been made.

The transition matrix node allows aggregation. Depending on the selected aggregation, the transition matrix represents the transitions not for just one participant but for all selected participants and/or scenarios / data sets.

Column:

The column used to compute the transition matrix, normally the AOI column.

Used / Ignored Values:

Determines ignored values, and additionally the sequence of the used values in the output. Use drag & drop to change.

Note, that ignoring values does not simply remove them from the output as if the rows containing these values did not exist. Instead, if an ignored value exists between equal values, the computation assumes that the ignored value should be the same value as the value between which it exists. E.g. if a sequence AAXXAAA exists, and X is ignored, the computed transition matrix will not display any transition as the assumed sequence is AAAAAAA. If an ignored value exists between two values that are different, the transition matrix acts as if the ignored value does not exist, i.e. it will display a transition from one value to the other. E.g. if a sequence AAXXBBB exists, and X is ignored, the transition matrix will display a transition from A to B.

This behavior is intentional and can be used to correct small detection errors. It corresponds the ignore function in the Parallel Scan Path, and the result reflects what can be seen in this visualization, if the same value is ignored. If used excessively, ignoring values can lead to results that might create incorrect impressions. If in doubt, ignoring values should not be used.