Systems and methods for automatically measuring a video game difficulty

US10799798B2 · 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
• Meng Wu · Sunnyvale, US

Key dates

• Filing date: Jun 27, 2019
• Grant date: Oct 13, 2020
• Expiry date: Jun 27, 2039

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A63F13/822
• WIPO field: Furniture, games
• WIPO sector: Other fields

Abstract

Embodiments of the systems and methods described herein can automatically measure the difficulty metrics associated with various aspects of a video game using an artificial intelligence system. The artificial intelligence system may include multiple game agents. Telemetry data associated with the gameplay of each game agent may be recorded while the game application is automatically executed by the game agents. The telemetry data may be communicated to a data analysis system which can calculate game difficulty metrics for various aspects of the game. The data analysis system can determine game difficulty associated with the various aspects based on the game difficulty metrics. The results from the data analysis system may be visualized and communicated to a game developer for updating the operations of the video game.