Human Intervention Routing for Autonomous Task Uncertainty
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Solution Overview
Problem
Autonomous devices often face challenges in executing tasks, identifying next steps, or judging task completion with certainty, leading to the need for human intervention to ensure accuracy and safety, particularly in complex or uncertain situations.
Innovation Solution
A system that facilitates human intervention by selecting appropriate human interventionists, transmitting requests, and receiving responses through a service controller, which includes a processor and memory with computer program instructions to assess performance metrics and generate ratings for interventionists, ensuring confidence in task execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous devices operate independently without human intervention, then productivity and automation extent are improved, but reliability and task execution accuracy deteriorate when encountering complex or uncertain situations
Solution Approach 1:
The patent introduces a service controller as an intermediary between the autonomous device and human interventionists. The service controller receives requests from the autonomous device, selects appropriate human interventionists based on task requirements, and manages the intervention process. This intermediary structure allows the system to maintain high automation while providing reliable human oversight when needed, resolving the contradiction between autonomous operation and task execution accuracy.
2Reliability
If human intervention is frequently requested to ensure accuracy, then reliability is improved, but productivity and operational efficiency deteriorate
Solution Approach 1:
The patent applies local quality by selectively engaging human intervention only for specific tasks or situations where it is most needed, rather than uniformly for all operations. The service controller evaluates task characteristics and autonom device confidence levels to determine when human intervention is necessary, thereby maintaining high reliability for critical tasks while preserving productivity for routine operations.
Solution Approach 2:
The system dynamically adjusts the threshold for requesting human intervention based on task complexity, uncertainty levels, and criticality. By changing the parameter of intervention trigger conditions, the system optimizes the balance between reliability and productivity, requesting human input only when parameters indicate insufficient autonomous confidence or high task criticality.
3Adaptability or versatility
If a large pool of human interventionists is maintained to handle diverse tasks, then adaptability is improved, but device complexity and operational cost worsen
Solution Approach 1:
The service controller is designed with multi-functionality to handle diverse interventionist selection criteria, task routing, performance evaluation, and rating management. This universal controller consolidates multiple management functions into a single system, reducing operational complexity while maintaining the ability to manage a diverse pool of interventionists for various task types.
Solution Approach 2:
The patent replaces manual, mechanical processes of interventionist selection and management with automated electronic systems. The service controller uses algorithmic decision-making to select appropriate interventionists based on task requirements, and automatically evaluates performance through electronic feedback loops, thereby reducing the complexity of managing human resources while maintaining high adaptability.
4Productivity
If human intervention requests are processed quickly to maintain productivity, then productivity is improved, but measurement precision and selection accuracy of interventionists deteriorate
Solution Approach 1:
The service controller performs preliminary actions by pre-evaluating and ranking interventionists based on their expertise, availability, and performance history before requests are made. This pre-positioning of interventionist information allows the controller to quickly match requests with appropriate interventionists without time-consuming evaluation during critical moments, thereby maintaining both speed and selection accuracy.
Data Source
AI summary
Methods, apparatuses, systems, and computer program products for facilitating human intervention in an autonomous device are disclosed. In a particular embodiment, a method of facilitating human intervention in an autonomous device includes a service controller selecting from a first plurality of human interventionists, by a service controller, a first set of human interventionists to respond to a request associated with an autonomous device; transmitting, by the service controller, the request to a first set of interventionist devices, each interventionist device of the first set of interventionist devices associated with a particular human interventionist in the first set of human interventionists; and receiving from the first set of interventionist devices, by the service controller, a first set of interventionist responses to the request.