AI Game Play Profile for Automated Task Assistance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing gaming technologies lack efficient methods for automatically controlling game characters to assist users in completing difficult tasks, leading to frustration and potential abandonment of games due to challenging sections.
Innovation Solution
A system and method that utilize artificial intelligence (AI) to generate user game play profiles, allowing AI characters to simulate and assist users by completing specific tasks, enabling seamless continuation of game play without user attention, and providing analytics for game developers to improve game design.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional game control methods are used, then users must manually complete all game tasks, but this leads to frustration and potential abandonment when encountering difficult sections
Solution Approach 1:
The patent introduces an AI character as an intermediary between the user and the game system. This AI character automatically performs difficult game tasks on behalf of the user, acting as a mediator that handles challenging sections while the user maintains overall control. The AI character learns from monitored game plays and provides assistance when needed, resolving the contradiction by making difficult tasks easier to complete while maintaining user engagement.
Solution Approach 2:
The AI character operates autonomously to complete game tasks without requiring direct user intervention for each action. It monitors game plays, learns optimal strategies, and independently executes tasks that are difficult for users. This self-service capability allows the user to bypass difficult sections automatically while maintaining engagement with the game overall.
2Productivity
If AI automatically controls game characters, then difficult tasks can be completed easily, but this may reduce user engagement and immersion
Solution Approach 1:
The AI character performs only the necessary difficult tasks autonomously rather than taking complete control of all game actions. It provides partial automation focused specifically on challenging sections, allowing users to maintain engagement with less difficult portions of the game. This partial action approach resolves the contradiction by improving productivity for difficult tasks while preserving user engagement through selective automation.
Solution Approach 2:
The system continuously monitors user game plays and uses this feedback to learn and adapt the AI character's behavior. The AI observes user strategies, preferences, and play patterns, then adjusts its assistance accordingly. This feedback loop ensures the AI enhances rather than replaces user engagement, resolving the contradiction by making productivity improvements that adapt to user needs and maintain immersion.
3Adaptability or versatility
If AI monitors and learns from multiple game plays, then personalized assistance can be provided, but this increases system complexity
Solution Approach 1:
The AI character serves multiple functions: it automatically completes difficult tasks, monitors user game plays, learns from this data, and provides personalized assistance. Rather than requiring separate systems for each function, the AI integrates these capabilities into a single multi-functional agent. This universality resolves the contradiction by providing personalized assistance through one system that handles multiple tasks, reducing overall complexity while maintaining adaptability.
Data Source
AI summary
A method for gaming. The method includes assigning a default game play profile to a user, wherein the default game play profile includes a default game play style that simulates human game play, and wherein the default game play profile is configured to control game play for the user based on the default game play style. The method includes monitoring a plurality of game plays of the user playing a plurality of gaming applications. The method includes generating a user game play profile of the user by adjusting the default game play style based on the plurality of game plays, wherein the user game play profile incudes a user game play style customized to the user. The method includes controlling an instance of a first gaming application based on the user game play style of the user game play profile.