Remote Operator Workload Signaling for Multi-Mobile Support
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Solution Overview
Problem
Existing remote support systems do not allow mobile objects to recognize the level of support difficulty effectively, leading to uncertainty in the ability to perform remote operations.
Innovation Solution
A remote support system that includes a status acquisition unit to gather operator information, a support difficulty level calculation unit to assess the operator's capability, and a notification unit to inform mobile objects of the support difficulty level, using indicators such as biometric data, work status, and communication state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If one remote operator provides remote support for multiple mobile objects, then the productivity of the remote operator is improved, but the reliability of remote support decreases due to increased support difficulty
Solution Approach 1:
The system continuously monitors the remote operator's work status (number of supported mobile objects, communication state, biometric information) and provides feedback in the form of a calculated support difficulty level. This feedback mechanism allows the system to adapt to changing conditions and maintain reliability even when productivity increases by having one operator support multiple mobile objects.
Solution Approach 2:
The support difficulty level acts as an intermediary parameter that mediates between the remote operator's capacity and the mobile objects' support needs. This intermediary enables indirect control and coordination, allowing one operator to effectively manage multiple mobile objects by providing a quantifiable measure of support capability.
2Measurement precision
If the remote operator's work status is continuously monitored to calculate support difficulty level, then the measurement precision of operator capability is improved, but the use of energy and system complexity increase
Solution Approach 1:
The monitoring system is designed to collect multiple types of information (work status, communication state, biometric data) through a unified status acquisition unit. This multi-functional approach allows the system to achieve high measurement precision for support difficulty level calculation while avoiding redundant monitoring mechanisms that would increase energy consumption.
3Measurement precision
If biometric information and work status data are collected and processed, then the measurement precision of operator capability is improved, but the device complexity increases
Solution Approach 1:
The patent combines multiple monitoring functions (work status acquisition, communication state monitoring, biometric information collection) and the support difficulty level calculation into a single integrated remote support server. This merging of functions reduces system complexity compared to having separate systems for each monitoring aspect, while still achieving high measurement precision through comprehensive data collection.
Data Source
AI summary
A remote support system is a remote support system for one remote operator to remotely support a plurality of mobile objects. The remote support system includes a situation acquisition unit, a support difficulty level calculation unit, and a notification unit. The status acquisition unit acquires the work status of the remote operator based on information transmitted from an operator interface operated by the remote operator. The assistance difficulty level calculation unit calculates the assistance difficulty level of the remote operator based on the work status of the remote operator. The notification unit notifies the mobile objects of the assistance difficulty level.