Are machine-learning–based tracking tools effective for identifying problematic players, compared to the results of a self-assessment tool?
Abstract
This systematic review aims to synthesize findings from all studies that assess how effectively operator-implemented tracking tools identify problematic gamblers, using self-assessment instruments (such as the PGSI) as the reference measure.
Fields of Study & Subjects
Gambling Behavior and Treatments
Substance Abuse Treatment and Outcomes
Decision-Making and Behavioral Economics
Publication details
- Journal / source
- Open Science Framework
- Publication date
- 1 January 2026