Begin collaborative research project to develop a methodology to detect harmful gambling behaviours and how problem gambling (i.e. vulnerability) can be detected during digital journeys based on customer behaviour. (City, University of London, LAB Group)
City, University of London and LAB Group have made strong progress with the project. We have completed a data-driven stage of Comparative Linguistic Analysis Research to learn how gamblers think and discuss their behaviour, therefore revealing emerging trends and opportunities for intervention. We have also completed Qualitative Research to learn how gamblers interact kinetically when in online gambling journeys.
In the next stage of the project, City and LAB will conduct a large-scale quantitative test to collect kinetic and behavioural data which is then fed into machine learning analysis. The end goal from this is to develop new neuroscientific and behavioural digital tools to help prevent vulnerable gamblers from harm through dynamic digital solutions (e.g. changes to choice architecture) the industry can adopt quickly and easily.
City, University of London and the LAB Group (opens in new tab) have received £330,000 in regulatory settlements funding to conduct detailed research into new methods to help identify and protect problem gamblers in digital spaces.
The funding will allow City, University of London and LAB's research teams to jointly develop new neuroscientific and behavioural tools to help address the harmful effects of problem gambling and addicted behaviours, and identify solutions the industry can adopt quickly and easily.