PIXEL-BASED AI MODELING OF PLAYER EXPERIENCE FOR GAMING APPLICATIONS
摘要:
An AI system is trained to operate by receiving game telemetry data from a gaming application associated with game play of a player, wherein the telemetry data includes pixel data from the gaming application; generating a predicted user motivation by applying the BEA tools to the game telemetry data, wherein the predicted user motivation includes motivation data that indicates motivation scores for the player for each of a plurality of motivation factors associated with a corresponding one of a plurality of different motivations, and wherein each of the motivation scores for the player predicts an amount that the player's behavior while playing the gaming application is motivated by one of the plurality of different motivations; and facilitating adaptation of the gaming application based on the predicted user motivation.
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