Determine Event Boundaries in Event Segmentation Experiments
Description
Contains functions that help to determine event
boundaries in event segmentation experiments by bootstrapping a critical
segmentation magnitude under the null hypothesis that all key presses were
randomly distributed across the experiment. Segmentation magnitude is
defined as the sum of Gaussians centered at the times of the segmentation
key presses performed by the participants. Within a participant, the maximum
of the overlaid Gaussians is used to prevent an excessive influence of a
single participant on the overall outcome (e.g. if a participant is pressing
the key multiple times in succession). Further functions are included, such
as plotting the results.