Kindred and leading researchers have for years worked in tandem to develop an approach that can accurately identify harmful gambling behaviour. We have explored various scientific methods over the years and are now confident that we have found a suitable one to use for Kindred’s inhouse player monitoring system, Player Safety – Early Detection System (PS-EDS).
The PS-EDS technology applies an algorithm based on the fifth edition of a well-known mental health classification model called the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). DSM-5 is, more specifically, a diagnostic criteria documentation that allows us to take behavioural indicators into account. Simply put, each indicator of harmful behaviour is translated into corresponding data points.
The behavioural data points are blended with complementary financial data, in total PS-EDS takes 27 features into consideration. By combining DSM-5, web analytics and risk calculations, the PS-EDS has evolved and is today allowing for even better detection of harmful gambling online.
In order to increase transparency behind the thinking that led to the new version of PS-EDS, we have published a research paper that was thoroughly peer reviewed, which describes the thinking behind PSEDS. Further papers are planned to increase transparency and analysis on the system.
https://www.youtube.com/watch?v=KklWksJKRT4
Description of PGSI and DSM-5
Our player monitoring system, PS-EDS is all about reaching out to players before a harmful behavior is established. The system combines the principles of PGSI and DSM-5, which we introduce in more detail below.