Task Exchange Server for Human Media Review Coordination
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Solution Overview
Problem
Current programmatic interaction mechanisms, such as Web services, are limited in performing tasks that require human cognitive and mental capabilities like judgment, perception, and reasoning, as they cannot easily automate complex human performance tasks.
Innovation Solution
A system that facilitates human review of media data by creating tasks for multiple humans to identify targets of interest, using a task exchange server to coordinate task performance and provide a platform for human task performers to interact with task requesters, leveraging human judgment and perception for tasks like image or video analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If programmatic interaction mechanisms (Web services, RPC) are used to automate tasks, then automation extent and productivity are improved, but the ability to perform human cognitive tasks (judgment, perception, reasoning) deteriorates
Solution Approach 1:
The patent introduces a task exchange server as an intermediary that bridges automated systems and human performers. The server receives task requests from automated systems, converts them into human-performable tasks, and manages the distribution and collection of results. This mediator enables programmatic access to human cognitive capabilities while maintaining system automation, resolving the contradiction between automation extent and ability to perform human cognitive tasks.
2Adaptability or versatility
If human performers are used to perform cognitive tasks, then the ability to perform human performance tasks is improved, but productivity and efficiency deteriorate
Solution Approach 1:
The patent segments human performance tasks into discrete, manageable task requests that can be independently assigned and tracked. Each task is broken down into specific instructions with defined inputs and outputs, allowing multiple human performers to work on different task segments simultaneously. This segmentation enables parallel processing of human cognitive tasks, significantly improving overall productivity while maintaining the ability to perform complex human performance tasks.
Solution Approach 2:
The task exchange server provides a universal platform that handles multiple types of human performance tasks through a single interface. The system can manage diverse task types (image analysis, text processing, decision-making) using the same infrastructure, allowing efficient resource allocation and scaling. This multi-functionality improves productivity by eliminating the need for separate systems for different human task types while maintaining versatility in task capabilities.
3Measurement precision
If a task exchange server coordinates multiple human performers, then collective intelligence and task completion quality are improved, but device complexity increases
Solution Approach 1:
The task exchange server acts as a centralized intermediary that manages all interactions between task requesters and human performers. It handles task distribution, performance tracking, quality validation, and result aggregation, thereby improving task completion quality through coordinated collective intelligence. The server abstracts the complexity of managing multiple human performers behind a simple programmatic interface, reducing the apparent device complexity for external systems while maintaining sophisticated internal coordination mechanisms.
Data Source
AI summary
Techniques are described for facilitating performance of tasks involving human review of media data (e.g., images, audio clips, video clips, etc.), such as to identify one or more targets of interest. The media data review may be performed for various reasons, such as to assist in locating one or more target objects in a large geographical area (e.g., one or more missing people or vehicles) based on human review of large quantities of images that each correspond to a small subset of the geographical area. When one or more of the reviewed media data pieces are identified as being relevant, information about those identified media data pieces may be used in various ways. Furthermore, in at least some situations, the media data review may be part of a charitable effort that uses human volunteers to review the media data without monetary payment or other compensation.