Dynamic difficulty adjustment

US10807004B2 · kind B2 · utility

Assignee

• Electronic Arts Inc. · US

Inventors

• Navid Aghdaie · San Jose, US
• John Kolen · Rue de l'Église, US
• Mohamed Marwan Mattar · San Francisco, US
• Mohsen Sardari · Redwood City, US
• Su Xue · Fremont, US
• Kazi Atif-Uz Zaman · Foster City, US
• Kenneth Alan Moss · Redwood City, US

Key dates

• Filing date: May 2, 2019
• Grant date: Oct 20, 2020
• Expiry date: May 2, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Furniture, games
• WIPO sector: Other fields

Abstract

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.