Detection of possible problem gambling behaviour
AssigneeMindway Ai Aps
InventorKim Mouridsen
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Abstract
Systems and methods identify possible problematic behaviour in gambling, in particular online gambling involving monetary transactions. Possible problem gaming behaviour is detected by obtaining a dataset comprising the subject's gaming transactions over a time period, analysing the gaming behaviour of said subject by modelling against a trained model employing artificial intelligence, and predicting and/or detecting Possible Problem Gambling Behavior (PPGB) of said subject based on the analysis wherein the trained model is trained based on one or more behavioral targets at outcome.
Claims17
A computer implemented method for detection of possible problem gaming behaviour of a subject engaged in one or more games involving monetary transactions, the method comprising the steps of:
- obtaining a reference dataset that includes objective markers of gameplay by a plurality of reference subjects over a first time period,
- labelling the reference dataset with results of an expert behaviour assessment of the reference dataset to generate labels for the reference dataset,
- calculating a set of predefined risk behaviour markers based on said reference dataset, each risk behaviour marker associated with temporal characteristics of the gaming transactions and/or monetary activity of the gaming transactions,
- training a classification model using the calculated set of risk behaviour marks and the labels for the reference dataset,
- obtaining a subject dataset comprising the subject's gaming transactions over a time period,
- calculating a set of subject risk behaviour markers based on said subject dataset, each risk behaviour marker associated with temporal characteristics of the gaming transactions and/or monetary activity of the gaming transactions applying the subject risk behaviour markers against the classification model, and
- detecting Possible Problem Gambling Behavior (PPGB) of said subject based on an analysis of gaming behaviour output by the classification model.
A system for detection of possible problem gaming behaviour of a subject engaged in one or more games, comprising a computer-readable storage device for storing instructions that, when executed by a processor, cause the system to:
- obtain a reference dataset that includes objective markers of gameplay by a plurality of reference subjects over a first time period,
- label the reference dataset with results of an expert behaviour assessment of the reference dataset to generate labels for the reference dataset,
- calculate a set of predefined risk behaviour markers based on said reference dataset, each risk behaviour marker associated with temporal characteristics of the gaming transactions and/or monetary activity of the gaming transactions,
- train a classification model using the calculated set of risk behaviour marks and the labels for the reference dataset,
- obtain a subject dataset comprising the subject's gaming transactions over a time period,
- calculate a set of subject risk behaviour markers based on said subject dataset, each risk behaviour marker associated with temporal characteristics of the gaming transactions and/or monetary activity of the gaming transactions
- apply the subject risk behaviour markers against the classification model, and
- detect Possible Problem Gambling Behavior (PPGB) of said subject based on an analysis of gaming behaviour output by the classification model.
Dependencies are inferred from the claim text.