Microsoft file patent for a machine learning system that would "train" itself on your playtime to work out when you'll be least annoyed by in-game ads
Uncle Microsoft's efforts to keep inventing the Torment Nexus proceed apace with a patent application for an in-game advertising system that might use machine learning to read your activities, and work out when you'll be least apoplectic about being suddenly served a giant MacDonalds pop-up. Read more
Microsoft has filed a patent for a machine learning system that could adapt in-game advertisements based on a player's actions and preferences, aiming to deliver ads at the most tolerable moments. The patent, titled "Contextually Aware Management of Interactive Software Application Access," was filed in April 2023 and published by the USPTO on September 3rd.
The system would monitor various aspects of gameplay, such as location, events, and player actions, to determine the most appropriate times for ad interruptions. It could potentially reward players with credits for viewing ads, allowing them to skip or delay future promotions. The key innovation lies in the system's ability to adapt to unique game moments, such as rare events or significant game milestones, to minimize player annoyance.
The patent suggests the use of machine learning algorithms to analyze user interface notifications and game state data, enabling the system to "learn" when to serve ads without disrupting the player's experience. While similar ad delivery systems exist in mobile gaming, particularly in gacha titles, Microsoft's proposed system represents a more integrated and nuanced approach to in-game advertising.
Written by urgent.news from Rock Paper Shotgun's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
