Microtask System for Gamified Content Editing
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Solution Overview
Problem
Users face challenges in identifying and completing microtasks associated with complex tasks, as existing methods lack a straightforward way to determine which microtasks make up a task, when to complete them, and how to incentivize users to do so.
Innovation Solution
A system and method that divides content edits into microtasks, allowing users to complete them using a smartphone or tablet in a game-like environment, with features like prediction models for automatic completion, feedback-based model updates, and rewards for completion metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If complex tasks are broken into microtasks, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing complex tasks into smaller, manageable microtasks. Each microtask is a discrete unit of work that can be completed independently, making the overall task more approachable and easier to operate. This is achieved through the microtask identification system that automatically breaks down workflows into atomic operations.
Solution Approach 2:
The patent introduces a microtask engine as an intermediary component that sits between the content item and the user. This intermediary automatically identifies, assigns, and tracks microtasks, reducing the complexity burden on the user while maintaining system functionality. The microtask engine handles the complex coordination logic centrally.
2Productivity
If automatic completion with prediction models is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent implements self-service through the prediction model that automatically completes microtasks without requiring user intervention. The system serves itself by using the prediction model to generate completions that are then reviewed and approved by users, reducing the manual workload and increasing productivity.
Solution Approach 2:
The patent incorporates feedback mechanisms where users review and approve or reject automatically generated completions. This feedback loop allows the prediction model to learn from user corrections and improve its accuracy over time, balancing automation with human oversight to maintain high productivity while managing complexity.
3Productivity
If rewards and metrics are introduced, then motivation is improved, but device complexity increases
Solution Approach 1:
The patent uses feedback in the form of real-time metrics and rewards that provide immediate reinforcement to users. Completion metrics, leaderboards, and reward systems give users feedback on their progress and standing, increasing engagement and motivation to complete microtasks without adding significant complexity to the core functionality.
Data Source
AI summary
Edits on a content item, such as a document, are divided into microtasks. The microtasks associated with a document can be automatically identified based on a workflow or can be identified by a user associated with the content item or an administrator. At a later time, the user can complete the microtasks for a content item using an application associated with their smart phone or tablet. The application may present the microtasks in a game-like environment where the user can compete with other users based on metrics such as number of microtasks completed in a day or fastest completion time. In addition, the user can earn rewards such as badges, coupons, or credits by completing microtasks. In this way, users can use time that would have been wasted playing games to complete their content items, while still experiencing some of the fun and competition associated with the games.