Gesture Reward System for Virtual Space Engagement
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Solution Overview
Problem
Existing virtual space systems do not effectively incentivize users to improve their gesture performance by providing rewards based on quantified metrics, limiting user engagement and experience enhancement.
Innovation Solution
A system that captures and analyzes user gestures in the real world, quantifies performance using gesture metrics, and provides rewards such as virtual items, currency, or events based on these metrics, enhancing user experience by offering new controls and interactions in the virtual space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users are required to perform defined gestures multiple times in training mode, then gesture recognition accuracy is improved, but user engagement and motivation deteriorate due to lack of incentives
Solution Approach 1:
The system implements continuous feedback by capturing gesture metrics (accuracy, speed, precision) and providing real-time feedback to users through rewards. This feedback loop motivates users to improve their gesture performance by seeing tangible recognition of their improvement through virtual items, currency, and status indicators.
Solution Approach 2:
The system changes the parameters of user interaction by introducing quantifiable gesture metrics (accuracy, speed, precision) as reward criteria. This transforms the training process from simple repetition to performance-based achievement, where users are incentivized to optimize specific parameters of their gesture execution.
2Measurement precision
If gesture performance is quantified using multiple metrics, then user performance evaluation is improved, but system complexity increases
Solution Approach 1:
The system segments the performance evaluation into distinct measurable metrics (accuracy, speed, precision) that can be independently calculated and weighted. This segmentation allows complex performance evaluation to be broken down into manageable components, each handled by specific modules in the gesture recognition system.
Solution Approach 2:
The gesture recognition system is designed with multi-functionality, where a single unified system handles both gesture identification and performance quantification. The same gesture capture infrastructure serves multiple purposes: basic gesture recognition, metric calculation, reward determination, and user progression tracking, reducing overall system complexity.
3Ease of operation
If rewards are provided based on gesture metrics, then user motivation is improved, but measurement and evaluation complexity increases
Solution Approach 1:
The system implements self-service measurement where the gesture recognition system automatically captures, analyzes, and quantifies gesture metrics without requiring external intervention. The system self-evaluates user performance and autonomously determines reward eligibility, eliminating the need for manual assessment or complex external measurement devices.
Data Source
AI summary
A system and method for providing rewards to a user in a virtual space based on the user performance of gestures is disclosed. Gesture parameters may be obtained for physical actions performed by virtual space users in the real world. Gestures and corresponding gesture commands in the virtual space may be identified based on the gesture parameters. User performance of an identified gesture may be qualified by one or more gesture metrics. The gesture metrics may be determined based on the obtained gesture parameters. Access to reward content may be provided to the user based on user performance of the identified gestures as qualified by the determined gesture metrics.