Digital Reward Animations With Local Rarity-Based Selection
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Solution Overview
Problem
Conventional visual display techniques for digital rewards on electronic devices are static and predictable, leading to decreased user engagement due to monotony, lack of personalization, and frustration, and are limited by storage and network constraints.
Innovation Solution
Implementing a system where digital animations are locally stored on electronic devices and dynamically selected based on reward levels and rarity probabilities, using Lottie animations for efficient and interactive content delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional visual display techniques are used for digital rewards, then the system is simple to implement, but user engagement decreases due to static and predictable visuals
Solution Approach 1:
The patent applies dynamics by transitioning from static visual displays to dynamic animations that respond to user actions and reward levels. The system now presents varying visual content based on real-time user interactions, making the reward experience more engaging and adaptive while maintaining implementation feasibility through programmatic control of animation sequences.
Solution Approach 2:
The patent utilizes parameter changes by varying visual display parameters such as animation type, duration, intensity, and sequence based on reward levels and user behavior. This allows the same base animation framework to produce diverse visual experiences by changing parameters rather than requiring entirely different visual assets for each scenario.
2Adaptability or versatility
If a large variety of visual content is stored for digital rewards, then user personalization improves, but storage requirements and bandwidth consumption increase
Solution Approach 1:
The patent applies local quality by storing only essential animation frameworks and assets locally on the user device, while more varied visual content is generated or retrieved as needed. This approach maintains content variety without requiring proportional increases in local storage, as the system selectively loads or generates specific visual variations based on user context.
Solution Approach 2:
The patent utilizes copying by creating multiple visual variations from a single base animation template through parameter modification rather than storing entirely separate animation files. This allows the system to present diverse visual content while minimizing storage requirements by reusing core animation assets across different reward scenarios.
3Adaptability or versatility
If visual content is retrieved from remote servers, then content updates are easy, but network latency increases and playback control is reduced
Solution Approach 1:
The patent applies preliminary action by pre-downloading and caching essential visual content and animation frameworks to the user device before they are needed. This allows the system to quickly present reward animations without real-time network dependency, reducing latency while maintaining the ability to update content through periodic background synchronization.
Solution Approach 2:
The patent introduces a local content cache and rendering engine as an intermediary between the remote server and the visual display. This intermediary layer stores locally available content and generates visual output independently of network status, reducing latency and improving playback control while still enabling content updates through the server when connectivity is available.
4Adaptability or versatility
If more digital animations are stored locally for dynamic selection, then user engagement increases, but device memory consumption increases
Solution Approach 1:
The patent applies segmentation by dividing the animation library into modular segments or templates that can be independently stored and recombined. Instead of storing complete varied animations, the system stores segmented animation frameworks that can be dynamically assembled into different visual experiences, reducing memory requirements while maintaining engagement through variety.
Data Source
AI summary
Systems and methods for determining whether and how to present digital animations in a user interface are disclosed. According to certain embodiments, the systems and methods may facilitate the identification of a set of products or services purchased by an individual, and the determination of a reward level associated with the set of products or services. The systems and methods may select a digital animation, from a set of digital animations that is predetermined based on a set of probabilities, corresponding to the reward level, and present the digital animation in a user interface.


