SYSTEMS AND METHODS FOR AUTO-OPTIMIZATION OF GAMIFICATION MECHANICS FOR WORKFORCE MOTIVATION

摘要

Methods and systems are provided for auto-optimization of gamification mechanics. A gamification platform, hosted on any suitable interface, may collect action data from one or more employee. Gamification mechanics are applied to the actions to compute an effectiveness value for each action. An optimization layer of the system may receive performance metrics for the employee from internal systems, or via third party systems. The performance metrics may be employed to update the gamification mechanics by optimizing weights for each action in a fitness function. Effectiveness predictions for future actions are generated using these optimized weights. The updated mechanics and predictions may be provided back to the gamification platform to iteratively repeat the process.