Virtual Equipment Model Adapting to User Skill Level
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computer games do not automatically adapt virtual equipment to reflect the user's skill level, leading to a static and unchallenging experience as users become more skilled, potentially causing loss of interest.
Innovation Solution
The virtual equipment model automatically adjusts its 'sweet spot' based on the user's skill level, influencing how the equipment behaves in response to user interaction, incorporating changes in accuracy and precision, and adapting the input model and representation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual equipment parameters remain static, then the game structure is simple and easy to implement, but the user experience becomes unchallenging as skill level improves
Solution Approach 1:
The virtual equipment model transitions from a static configuration to a dynamic one that automatically adjusts parameters such as sweet spot size, control sensitivity, and forgiveness based on the user's skill level. The system continuously monitors performance metrics and modifies equipment characteristics in real-time, enabling the equipment to adapt to improving user skills while maintaining appropriate challenge levels.
Solution Approach 2:
The system changes key parameters of the virtual equipment model including sweet spot dimensions, control sensitivity, and forgiveness factors based on detected user skill level. As users improve, parameters such as sweet spot size may decrease and control sensitivity may increase, transforming the equipment characteristics to maintain optimal challenge without requiring complete equipment replacements.
2Productivity
If virtual equipment automatically adapts to user skill level, then user challenge and engagement are maintained, but the system complexity increases
Solution Approach 1:
The virtual equipment model performs self-adjustment by automatically detecting user skill level through performance analysis and autonomously modifying its parameters. The system monitors user interactions, evaluates skill improvement through metrics such as accuracy and completion time, and autonomously adjusts equipment characteristics without requiring manual intervention or complex external control systems.
Solution Approach 2:
The system implements a feedback loop where user performance with the virtual equipment is continuously monitored and fed back to the adaptation engine. This feedback mechanism analyzes metrics such as shot accuracy, reaction time, and task completion to determine skill level changes, which then trigger appropriate parameter adjustments in the equipment model to maintain optimal challenge levels.
3Measurement precision
If the sweet spot of virtual equipment is made smaller for advanced users, then precision and accuracy are improved, but the equipment becomes harder to control
Solution Approach 1:
The system dynamically changes the sweet spot parameter based on user skill level. For advanced users, the sweet spot size is reduced to provide greater precision and accuracy, allowing skilled users to achieve more precise outcomes. Simultaneously, other parameters such as control sensitivity and forgiveness are adjusted to compensate, ensuring that the reduced sweet spot size does not make the equipment uncontrollable.
Solution Approach 2:
The virtual equipment model applies different quality characteristics to different aspects of equipment behavior based on user skill level. The sweet spot size is locally adjusted for precision while other parameters such as control response, forgiveness for missed shots, and assistance mechanisms are adjusted separately to maintain overall ease of operation. This localized parameter adjustment allows precision improvement without sacrificing controllability.
Data Source
AI summary
Methods and apparatus, including computer program products, for determining a user skill level for user interaction with virtual equipment in an interactive computer game. The virtual equipment is capable of being manipulated through user interaction with an associated representation. Automatically adapting a virtual equipment model associated with the virtual equipment to reflect the determined user skill level. The virtual equipment model governs how the virtual equipment behaves in response to user interaction with the representation.