Monitoring and profiling gamblers 24-7-365

chance of detecting possible problem gambling
88 %
chance of detecting harmless behavior
99 %
problem gamblers manually identified also detected by GameScanner
98 %
overall consistency between GameScanner and expert opinion
93 %

About GameScanner

The award-winning technology behind GameScanner is an artificial intelligence solution based on neuroscience which - fully automatically - identifies problem gambling behavior with the same performance as expert psychologists. GameScanner learns by observing real human experts as they meticulously assess and compare every aspect of the individual customer's gambling history. This gives GameScanner the unique ability to weigh different indicators of controlled as well as addictive behavior, the same way experienced psychologists do every day. This also gives GameScanner the important ability to explain its decisions with clearly understandable reasons for its assessments. The assessments form the basis for potentially following up with customers either automatically or via the operator's customer care team. The real advantage, of course, is that GameScanner monitors and profiles customers fully automatically around the clock while continuing to learn and refine itself.

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Research behind the game

Expert evaluation

Developed by researchers, problem gambling specialists and psychologists, GameScanner is based on the meticulous analysis and assessment of several thousand gambling patterns.

Neuroscience & AI

The GameScanner algorithm has a very high accuracy in detecting at-risk and problem gamblers as a result of the synergy between highly advanced artificial intelligence, neuroscience and expert ratings. At least 99% of subjects manually assessed as potential problem gamblers are classified as either at-risk or potential problem gamblers by GameScanner. And at least 88.5% of subjects manually assessed as potential problem gamblers are classified as potential problem gamblers by GameScanner.*

*The perfromance claims have been tested and verified in a sample test by GLI in August 2020. 


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