“…Over the past few years efforts have been made to design intelligent detection systems to identify markers of risky and disordered gambling using algorithms that analyse player behaviours and interactions (Dragicevic et al, 2011;Gainsbury, 2011;Auer and Griffiths, 2012;Braverman and Shaffer, 2012;Adami et al, 2013). These systems can be used to trigger warning signs for players or notify operators to check in with players in an attempt to minimise harms and prevent gamblers developing serious problems (Gainsbury, 2011;Haefeli et al, 2011).…”
“…Over the past few years efforts have been made to design intelligent detection systems to identify markers of risky and disordered gambling using algorithms that analyse player behaviours and interactions (Dragicevic et al, 2011;Gainsbury, 2011;Auer and Griffiths, 2012;Braverman and Shaffer, 2012;Adami et al, 2013). These systems can be used to trigger warning signs for players or notify operators to check in with players in an attempt to minimise harms and prevent gamblers developing serious problems (Gainsbury, 2011;Haefeli et al, 2011).…”
“…[1][2][3][4][5][6] However, neither bet size nor the number of games played takes into account the house advantage of a game. Players are risking less when they play games with low house advantages.…”
Section: Theoretical Loss and Gambling Intensity: A Simulation Studymentioning
“…For example, it has been noted that current problem gambling screens may not be entirely suitable for use in the detection of problematic Internet gambling. Dragicevic, Tsogas, and Kudic (2011) pointed out that problem gambling screens typically classify chasing behaviour as returning the following day to gamble (e.g. Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV; American Psychiatric Association, 1994), the Canadian Problem Gambling Index (Ferris & Wynne, 2001) and the South Oaks Gambling Screen (Lesieur & Blume, 1987)).…”
Section: Using Behavioural Tracking Data To Support Responsible Gamblmentioning
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