Online Game Platform for Human Intelligence Data Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current digital content management systems fail to effectively harness human intelligence for tasks that require high-level abstraction, contextual inference, and subjective judgment, leading to inefficient data management and misuse.
Innovation Solution
An online collaborative game platform that motivates players to perform tasks such as image association, URL ranking, and spam evaluation by offering monetary rewards, leveraging human contextual inference and storing generated information for specific needs, while mitigating fraud through scoring and fraud detection mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If computerized agents are used for digital content management, then automation is improved, but the ability to perform high-level contextual inference and subjective judgment deteriorates
Solution Approach 1:
The patent introduces human players as intermediaries between digital content and management systems. Players perform tasks requiring contextual inference and subjective judgment that computerized agents cannot effectively perform, while the game platform automates the coordination, tracking, and integration of player contributions at scale.
2Measurement precision
If human players are used for digital content management, then contextual inference quality is improved, but operational cost increases
Solution Approach 1:
The patent implements a self-service model where players are motivated to contribute their intellectual capabilities through intrinsic game engagement and extrinsic rewards. The system automatically manages player recruitment, task assignment, performance tracking, and reward distribution, eliminating the need for traditional human resource management overhead.
Solution Approach 2:
The game platform serves multiple functions simultaneously: it recruits players, manages tasks, tracks performance, prevents fraud, and distributes rewards. This multi-functionality consolidates what would traditionally require separate operational systems into a single integrated platform, reducing overall operational complexity and cost.
3Productivity
If players are rewarded based on scores, then player motivation is improved, but fraud risk increases
Solution Approach 1:
The patent implements continuous feedback mechanisms where player actions are immediately tracked, validated, and reflected in score updates. The system provides real-time feedback on player performance and reward status, enabling rapid detection of anomalous patterns that may indicate fraudulent behavior while maintaining player motivation through transparent scoring.
Solution Approach 2:
The patent incorporates preliminary anti-fraud measures by designing game mechanics and scoring systems that inherently prevent certain types of fraudulent behavior. The system proactively validates player actions and implements control rounds before rewards are distributed, preventing fraudulent score accumulation rather than merely detecting it afterward.
Data Source
AI summary
Systems and methods allow an on-line game to extract information relevant to a specific need of a game platform or service platform. The specific need relates to management and use of digital content, and is addressed by designing and playing an on-line collaborative game. The rules of the game intend to solve a specific task dictated by the specific need. Players' responses to the game generate a wealth of information related to a specific task objective, such as ranking, sorting, and evaluating a set of digital content items. To compel participation in a game, players can be rewarded with monetary value rewards. As a game illustration, an image selection game (ISG) that exploits human contextual inference is described in detail. The information extracted from ISG is a list of key-image associations, relevant for the task of image sorting and ranking.


