Dynamic User Analysis System for Video Game Hint Generation
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Solution Overview
Problem
In modern complex games, the value of pre-loaded gameplay technique messages diminishes over time due to their limited number, failing to effectively guide users in a non-intrusive manner.
Innovation Solution
A user analysis system and method that maintains statistics on gameplay success and failure, comparing the current user's behavior to a population of users to provide tailored hints and advice, dynamically adjusting based on performance metrics and peer success, without the need for pre-scripted hints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If pre-loaded gameplay technique messages are provided to guide users, then users receive useful information about the game, but the value of these messages decreases over time due to their limited number
Solution Approach 1:
The hint system transitions from static pre-loaded messages to dynamic generation based on real-time player behavior analysis. The system continuously adapts hint content based on measured player statistics and successful behaviors from other players, ensuring messages remain valuable and relevant throughout extended gameplay periods.
Solution Approach 2:
The system automatically generates personalized hints by analyzing player behavior data and comparing it with successful player patterns. This self-service mechanism eliminates the need for developers to manually create extensive pre-loaded message sets, as the system autonomously produces relevant guidance based on actual player needs.
2Adaptability or versatility
If personalized hints are generated based on player behavior analysis, then hint relevance improves, but system complexity increases
Solution Approach 1:
The complex behavior analysis and hint generation logic is extracted from the main game engine and implemented as a separate behavioral analysis system. This modular approach isolates the complexity into a dedicated component that can process player statistics and generate personalized hints without burdening the core game systems.
Solution Approach 2:
A behavioral analysis system acts as an intermediary layer between raw player statistics and hint generation. This mediator component processes measured player behaviors, compares them with successful player patterns, and translates the analysis results into personalized hint messages, simplifying the overall system architecture.
Data Source
AI summary
A user analysis method of assisting a current user within the videogame, includes: obtaining an indication that a hint is required for a scenario within the videogame; and if so, providing a hint to the current user relating to successful behaviour in the scenario; where providing a hint comprises: obtaining one or more indicators of behaviour for the scenario within the videogame, a difference detecting step comprising detecting a respective difference between the one or more obtained indicators of behaviour and corresponding data derived from a corpus of measured indicators of behaviour previously generated from a subset of other users detected to have a predetermined level of success in the scenario, and the providing step comprising providing a hint to the current user indicating a change in one or more behaviours that reduces a respective difference in the one or more measured indicators of behaviour between the current user and the subset of other users detected to have a predetermined level of success in the scenario.