Analytics Server for Game Play Skill Training
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Solution Overview
Problem
In complex modern video game environments, players face difficulty in selecting and managing objects effectively, leading to frustration and early elimination, especially in multi-player settings, due to the increased complexity of directional control and objective management.
Innovation Solution
A method and system for object-oriented observation, where game play data of multiple users is analyzed to identify proficient users, and video recordings of their object usage are created and made accessible to less skilled players, facilitated by an analytics server or module, allowing them to learn from expert players.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If game environments become more complex with multiple objects and directional controls, then game play capability and objectives are improved, but player difficulty and frustration increase
Solution Approach 1:
The patent introduces an intermediary system (analytics server, observation module, video library) that mediates between the complex game environment and the player. This intermediary analyzes gameplay data, identifies proficient players, creates observation videos, and provides them to less skilled players, thereby reducing the direct cognitive load on the player while maintaining the complex game capabilities
Solution Approach 2:
The system implements feedback mechanisms by analyzing player performance data, comparing it against proficient players, and providing targeted observation videos as feedback. This feedback loop helps players understand their weaknesses and learn from experts, reducing frustration without simplifying the game itself
2Adaptability or versatility
If multiple objects and directional controls are added to enhance game play, then adaptability is improved, but device complexity increases
Solution Approach 1:
The control complexity is shifted from the player to an intermediary analytics system that processes control inputs, tracks object management, and generates performance analyses. This separates the complexity of controlling multiple objects from the player's direct interaction
3Productivity
If proficient players are identified and their videos are provided to less skilled players, then learning effectiveness is improved, but information processing requirements increase
Solution Approach 1:
The system extracts only the most relevant information from the vast amount of gameplay data - specifically, the actions and strategies of proficient players that lead to success. By taking out and isolating these key patterns into observation videos, the system reduces the information processing burden on less skilled players while maintaining high learning effectiveness
Solution Approach 2:
The complex information about proficient gameplay is segmented into discrete observation videos that can be individually accessed and studied. This segmentation allows players to focus on specific skills or object management techniques without being overwhelmed by the entirety of complex game mechanics
Data Source
AI summary
Embodiments of the present invention provide a library of video related to game play involving the use of particular objects. By observing game play of users in a game play environment, determinations may be made as to users who excel at the use of a particular object. Video of game play related to these users and a particular object may be created, cataloged, and stored for later use by users that lack proficiency with that object. By observing video of game players with particular skill as to an object, less skilled players may improve their game play thereby avoiding frustration with a game, which may lead to a loss of interest. Acquisition and proffering of video may be facilitated through the use of an analytics server or functional software module that observes game play and identifies players of particular skill or lack thereof.