Game Session Scheduler for Intent- and Time-Matched Play
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Solution Overview
Problem
Users find it challenging to quickly identify a video game that aligns with their specific gaming intent and available time frame, especially when they have limited time to play, due to remembering game-specific inputs and progress across multiple games.
Innovation Solution
A system that analyzes user gameplay history, intent, and available time to suggest video games with tasks that align with the user's uncompleted or partially completed challenges, allowing for gameplay resumption from a relevant point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually recall and search through multiple video games to find one matching their intent, then they can potentially find a suitable game, but the time required to identify and select a game increases significantly
Solution Approach 1:
The system pre-processes and stores gameplay history data, user preferences, and game characteristics in advance. When a user expresses an intent, the system can immediately query and match against this pre-organized data structure, avoiding the need for users to manually search through games. This preliminary organization of information enables rapid retrieval and matching, resolving the contradiction between accurate game identification and time consumption.
Solution Approach 2:
The patent introduces an intermediary system (the game recommendation system) that acts as a mediator between the user's intent and the library of video games. This intermediary automatically analyzes the user's expressed intent, compares it with stored gameplay history and game data, and presents matched games to the user. This eliminates the need for users to directly search and recall game details, significantly reducing time while maintaining or improving matching accuracy.
2Adaptability or versatility
If users play multiple video games over time, then they accumulate diverse gaming experiences and skills, but the complexity of remembering game-specific inputs and progress across different games increases
Solution Approach 1:
The system merges the tracking and management of multiple game progress states into a single unified interface. Instead of requiring users to separately track progress in each game, the system consolidates all gameplay history, completed tasks, and current progress across multiple games into one centralized system. This unified approach reduces the cognitive complexity for users while preserving the ability to play diverse games and accumulate varied gaming experiences.
Solution Approach 2:
The system automatically tracks and manages game progress, task completion status, and gameplay history without requiring user intervention. The backend system self-updates progress information as users play games, automatically comparing current gameplay against stored game data to determine completion status. This self-service approach eliminates the burden on users to manually remember or track progress across multiple games, reducing complexity while supporting diverse gaming experiences.
3Duration of action of moving object
If users have limited time for gameplay, then they can focus on other commitments, but the ability to achieve significant gaming accomplishments within that limited time decreases
Solution Approach 1:
The system pre-identifies and presents games and tasks that are most likely to yield accomplishments within the user's available time frame. By analyzing gameplay history and game characteristics in advance, the system prepares matched game recommendations that are optimized for the user's time constraints. When users have limited time, they can immediately start playing a pre-selected game designed to provide meaningful accomplishments within that timeframe, rather than spending time searching or selecting inappropriate games.
Solution Approach 2:
The system dynamically adjusts game recommendations based on the user's available time parameter. When users indicate limited time availability, the system modifies its matching criteria to prioritize games and tasks that can be completed or make significant progress within that constrained time frame. This parameter-based adaptation ensures that users with limited time can still achieve gaming accomplishments proportional to their available duration, maintaining productivity despite reduced playtime.
Data Source
AI summary
Methods and systems are disclosed for providing suggestions for playing a video game in response to receiving a request specifying an intent and time frame that the user can spare for gameplay. Details included in the gameplay history is used to identify tasks in one or more video games that match the intent and where the gameplay was paused during a prior gameplay session. The one or more video games is returned to the user for user selection and gameplay.