Cross Database Data Selection Interface for Game Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Video game developers face difficulties in efficiently searching and compiling user feedback and bug reports across multiple databases to identify game improvement areas, as traditional methods are tedious and require technical knowledge of database technology.
Innovation Solution
A cross database data selection and correlation interface using a graphical user interface (GUI) dashboard that allows developers to drag and drop components for data association, with machine learning algorithms creating new datasets and options to refine the data analysis, enabling the identification of trends and issues across multiple databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If developers manually search through numerous databases to compile reports, then complete picture of issues is obtained, but time consumption and technical knowledge requirements increase
Solution Approach 1:
The patent combines multiple databases into a unified interface where developers can simultaneously access and correlate data from different sources. The system merges bug reports, feature requests, and other feedback from multiple databases into a single correlated view, eliminating the need to manually search through separate databases while maintaining complete issue visibility.
Solution Approach 2:
The patent introduces an intermediary correlation interface that sits between the multiple databases and the developer. This interface automatically retrieves, correlates, and presents data from numerous databases without requiring the developer to directly query each database, thus reducing time consumption while maintaining information completeness.
2Measurement precision
If developers manually search through numerous databases to identify trends, then accurate game improvement areas are identified, but technical knowledge requirements increase
Solution Approach 1:
The patent implements a self-service correlation interface that automatically performs data retrieval, correlation, and trend analysis without requiring the developer to have technical database knowledge. The system handles the complex database queries and correlations itself, presenting processed results in an easily interpretable format that maintains accuracy while eliminating the need for technical expertise.
Solution Approach 2:
The patent replaces the mechanical process of manual database searching and correlation with an automated computational system. The correlation interface automatically queries, retrieves, and correlates data from multiple databases using programmed logic, substituting manual technical operations with automated processes that maintain precision while reducing operational complexity.
3Adaptability or versatility
If traditional database searching methods are used, then data from all databases is accessed, but the process becomes tedious and time-consuming
Solution Approach 1:
The patent creates a universal correlation interface that can access and correlate data from multiple different database types and sources through a single unified system. This multi-functional interface handles various database formats and structures automatically, providing broad database accessibility while maintaining high productivity through automated correlation processes.
Data Source
AI summary
A method of cross database selection and correlation may include receiving an indication that a first graphical object representing a first dataset has been dragged onto a second graphical object representing a second dataset on a dashboard page of a graphical user interface (GUI). The method may further include sending the first and second dataset to a server and receiving a third dataset, based on a combination of the first and second datasets, and one or more options to define the third dataset.The method may include providing, for display on a second page of the GUI, a third graphical object representing the third dataset and one or more graphical objects representing the options associated with the third dataset. The method may further include receiving an indication that the third graphical object should be finalized, and providing the third graphical object for display on the dashboard page of the GUI.


