Dynamic difficulty adjustment

Embodiments of systems presented herein may perform automatic granular difficulty adjustment. In some embodiments, the difficulty adjustment is undetectable by a user. Further, embodiments of systems disclosed herein can review historical user activity data with respect to one or more video games to...

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Bibliographische Detailangaben
Hauptverfasser:	Mattar, Mohamed Marwan, Zaman, Kazi Atif-Uz, Moss, Kenneth Alan, Aghdaie, Navid, Sardari, Mohsen, Kolen, John, Xue, Su
Format:	Patent
Sprache:	eng
Schlagworte:	AMUSEMENTS CALCULATING CARD, BOARD, OR ROULETTE GAMES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES GAMES GAMES NOT OTHERWISE PROVIDED FOR HUMAN NECESSITIES INDOOR GAMES USING SMALL MOVING PLAYING BODIES PHYSICS SPORTS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR VIDEO GAMES
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Beschreibung
Zusammenfassung:	Embodiments of systems presented herein may perform automatic granular difficulty adjustment. In some embodiments, the difficulty adjustment is undetectable by a user. Further, embodiments of systems disclosed herein can review historical user activity data with respect to one or more video games to generate a game retention prediction model that predicts an indication of an expected duration of game play. The game retention prediction model may be applied to a user's activity data to determine an indication of the user's expected duration of game play. Based on the determined expected duration of game play, the difficulty level of the video game may be automatically adjusted.