MULTIMODAL EXPERIENCE MODELING FOR GAMING APPLICATIONS

A system operates by generating BEA tools that include an AI model trained via machine learning based on prior game play; receiving game data and multimodal player data associated with a play of a gaming application by a player that includes verbal data generated from the player and non-verbal data generated from the player; generating a predicted user experience by applying the BEA tools to the game data and the multimodal player data, wherein the predicted user experience includes motivation data that indicates motivation scores for the player for each of a plurality of different motivations, and wherein each of the motivation scores for the player predicts an amount that the player is motivated by one of the plurality of different motivations while playing the gaming application; and facilitating adaptation of the gaming application based on the predicted user experience.