This session presents a case study of Gamalyze, a gamified approach to player self-assessment that transforms the traditional responsible gambling questionnaire into an interactive online card game. Rather than relying on self-reported responses, the tool captures and analyses in-game decision-making to help players better understand their behavioural patterns.
· How can AI be used to derive meaningful behavioural signals from interactive experiences?
· What could this shift mean for early awareness, player insight, and the development of more engaging self-reflection tools in player protection?