In-Game Resource Surfacing Using Context-Aware Player Success Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Players in video games face challenges in finding suitable in-game resources to achieve objectives due to the vast number of items and games available, leading to frustration and disengagement, as current methods lack effective ways to match resources with individual player needs and playstyles.
Innovation Solution
A computer-implemented method and system that processes player queries and game data to identify contextually relevant in-game resources by analyzing player and community data, using natural language processing and machine learning to suggest resources that are most likely to help players succeed in achieving their objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If players rely on trial and error, guesswork, and research to find suitable in-game items, then they can eventually discover effective resources, but this process consumes excessive time and causes frustration leading to player disengagement
Solution Approach 1:
The system pre-analyzes game data from multiple players to identify effective resource combinations before a player needs them. When a player encounters difficulty, the system immediately presents pre-computed recommendations rather than requiring the player to conduct their own trial and error research, thus performing the information-gathering action in advance.
Solution Approach 2:
The patent introduces an intermediary platform that acts as a mediator between players and in-game resources. This platform collects and analyzes data from multiple players, then provides curated resource recommendations to individual players, eliminating the need for players to directly engage in time-consuming trial and error experimentation.
2Adaptability or versatility
If the number of in-game items and game titles increases to provide more choices, then player engagement and game variety improve, but the difficulty of finding suitable resources for individual players increases
Solution Approach 1:
The system tailors resource recommendations to each player's specific situation by analyzing their playstyle, current game state, and historical performance. Instead of presenting all available resources uniformly, the system customizes the information presentation to match the individual player's needs, making the vast array of resources manageable and relevant.
Solution Approach 2:
The patent changes the parameters of information presentation by filtering and ranking resources based on multiple dynamic factors including player skill level, playstyle preferences, current game progress, and effectiveness data from other players. This transforms the static overwhelming list of all possible items into a dynamic, context-aware ranked list.
3Manufacturing precision
If players experiment with multiple items, add-ons, and upgrades to find the most effective resource, then they can optimize their gameplay, but this experimentation process increases complexity and frustrates players
Solution Approach 1:
The system extracts and isolates the most effective resources from the overwhelming array of available items by analyzing aggregated player data. It separates the signal (effective resources) from the noise (ineffective or irrelevant items), presenting only the most promising options to players and eliminating the need for them to evaluate every possible item.
Solution Approach 2:
Instead of requiring players to exhaustively test all possible resources, the system provides a curated subset of the most promising recommendations based on data from many players. This partial action approach gives players enough information to make informed decisions without requiring them to conduct complete exhaustive searches.
Data Source
AI summary
Technology is described for surfacing contextually related resources to a player of a video game by way of a surfacing platform. In a method embodiment, an operation processes a query from a player of a video game that is related to completing an objective. The method includes operations for processing game data of the player for determining a current state and processing game data of other players that have completed the objective. The method further includes operations for identifying successful attempts of completing the objective by other players and the resources used in doing so. The method selects a resource that is usable by the player to complete the objective based on those resources by the other players in the successful attempts and presents the resource to the player for immediate use.