Task Evaluation Feedback for Adaptive Intervention Timing

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Solution Overview

Problem

Existing systems fail to accurately determine an appropriate approach to a subject based on their state and task execution situation, particularly when tasks are performed continuously or intermittently.

Innovation Solution

An information processing device that acquires task evaluation information, estimates the subject's state, and determines an intervention mode based on this information to optimize task execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a system provides an approach to the subject at each task completion timing, then task performance efficiency is improved, but the accuracy of determining the appropriate approach mode deteriorates

Engineering Contradiction:
Improvetask performance efficiencyVSAvoidaccuracy of determining approach mode
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The system implements feedback by acquiring task evaluation information after task execution and using it to determine the appropriate approach mode for subsequent tasks. The determination unit receives feedback about task completion status and subject state, then adjusts the approach mode accordingly, creating a closed-loop control system that continuously improves task performance efficiency while maintaining accurate mode determination.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system dynamically adjusts the approach mode based on real-time task evaluation information and subject state estimation. Rather than using a static approach mode, the system changes the approach mode dynamically in response to varying task conditions and subject states, allowing accurate determination of appropriate approaches while maintaining high task performance efficiency across different scenarios.

Inventive Principle:
Principle #15Dynamics

2Measurement precision

If the system determines approach mode based on multiple factors (task evaluation and subject state), then determination accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvedetermination accuracy of approach modeVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the determination process into distinct functional units: an acquisition unit that gathers task evaluation information, an estimation unit that assesses subject state, and a determination unit that synthesizes this information to select approach mode. This segmentation allows the system to handle multiple factors without excessive complexity, as each unit focuses on a specific aspect of the determination process.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The determination unit serves multiple functions by simultaneously processing task evaluation information and subject state estimation to determine the appropriate approach mode. This multi-functional design consolidates what could be separate complex systems into a single integrated unit, improving determination accuracy while managing system complexity through functional integration.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS12555488B2Information processing device, determination method, and storage medium for determining an approach based on task evaluation
Publication Date: 2026.02.17 NEC CORP
  • US12555488B2 patent drawing
  • US12555488B2 patent drawing
  • US12555488B2 patent drawing

AI summary

An information processing device 1X mainly includes an acquisition means 15X, an estimation means 16X, and a determination means 17X. The acquisition means 15X acquires task evaluation information relating to evaluation of execution of a task executed by a subject. The estimation means 16X estimates a state of the subject in execution of the task. The determination means 17X determines a mode of an approach to the subject based on the task evaluation information and the state of the subject. The device can support decision making regarding intervention in a subject's task execution.