Social Reward System for Human-in-the-Loop Data Classification
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Solution Overview
Problem
Conventional automated mechanisms struggle to accurately identify elements within images and require human input, which can be tedious and uninteresting, making it difficult to design engaging games for information collection tasks.
Innovation Solution
An information collection system combining a game component and a social reward component, where participants earn points for game participation and performance, allowing them to reveal social information about other players, thereby motivating engagement through social connections and interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional automated mechanisms are used for data classification, then automation level is improved, but measurement precision deteriorates
Solution Approach 1:
The patent introduces an intermediary system that bridges automated mechanisms and human judgment. The system presents data items to human participants through a game interface, allowing humans to perform classification tasks with high precision while the automated system manages participant coordination, data presentation, and result aggregation, thus achieving both high automation level and measurement precision
Solution Approach 2:
The patent segments the classification task into distinct components: automated data preparation and presentation, human judgment and classification, and automated result processing. This segmentation allows each component to operate at its optimal level, with automation handling routine operations and humans handling complex classification decisions
2Ease of operation
If engaging games are designed for information collection, then ease of operation is improved, but device complexity deteriorates
Solution Approach 1:
The patent creates a multi-functional system where the game platform serves multiple purposes: it presents classification tasks, tracks participant performance, manages reward distributions, and aggregates results. This universal design allows the same interface to handle both simple classification operations and complex game mechanics, improving ease of operation without proportionally increasing perceived complexity
Solution Approach 2:
The system implements continuous feedback loops where participants receive immediate responses to their classifications, view their performance relative to others, and see reward accumulations. This feedback mechanism simplifies the user experience by making the complex game system feel responsive and intuitive, while the automated backend handles the complexity of tracking and managing these feedback signals
Data Source
AI summary
Useful information is acquired from a community of individuals by way of a game that rewards participants with social information about other participants. Points can be awarded to participants simply for participation and/or as a function of game performance. Such points can subsequently be exchanged to reveal information about game partners or other community members. Among other things, such a reward system can motivate individuals to perform tasks that might not otherwise be compelling and/or enjoyable.