A current weakness of most gamified systems concerns their capability of retaining users in the medium to long term.
This is due to the fact that, very often, these systems use basic game elements – i.e., points, badges and leaderboards – and implement extremely simplified game dynamics. Taking full advantage of the potential of gamification and amplifying its impact, in terms of involvement and change of behavior, requires acting on two fronts. The first concerns a system design centered on the users’ gaming experience, providing them an engaging playful adventure, that combines complex game elements and dynamics in a powerful and compelling narrative. The second front concerns the ability to provide the user with a dynamic and highly personalized gaming experience, which takes into account the fact that the motivational levers, which guide our decisions and actions, are absolutely personal.
On this second front, Artificial Intelligence can play a decisive role and the MoDiS Unit aims at investigating AI techniques for adaptive gamification and personalized feedback:
  • Churn Prediction– identify participants at risk of abandonment, predicting a possible exit from the game with the aim of trying to recapture their interest;
  • Dynamic Difficulty Adjustment – carefully calibrate, especially in challenges and missions, the commitment required to the user to his real abilities, keeping him in a state of “flow” and avoiding making the gaming experience too frustrating or too boring;
  • Dynamic Reward Computation – make sure that the prize, virtual or real, associated with the challenges or missions, is calibrated to the actual commitment required to the individual player;
  • Procedural Content Generation – observe the user behavior over time and generate personalized content, taking advantage of those game elements that have proven to be most motivating and effective.


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