Evaluation Interface for Automatic Multi-Target Result Propagation
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Solution Overview
Problem
Users face the challenge of evaluating multiple evaluation targets without having to switch between them, leading to inefficiencies in the evaluation process.
Innovation Solution
An information processing system that allows users to evaluate one evaluation target and automatically applies the evaluation results to related targets based on predefined conditions, such as browsing history or document structure, reducing the need for manual evaluation of each target individually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users evaluate multiple evaluation targets individually by switching between them, then each target can be evaluated separately, but the evaluation process becomes time-consuming and inefficient
Solution Approach 1:
The patent combines multiple evaluation targets into a single evaluation interface, allowing users to evaluate multiple targets simultaneously without switching between them. The evaluation result of one target is automatically applied to other targets in the aggregate, merging what would otherwise be separate evaluation operations into a single efficient action.
Solution Approach 2:
The system performs preliminary action by automatically applying the evaluation result of one target to other targets before the user needs to evaluate them individually. When a user evaluates one target, the system pre-applies that evaluation result to related targets based on predefined conditions, eliminating the need for subsequent manual evaluation of each target.
2Measurement precision
If users manually evaluate each evaluation target individually, then detailed evaluation can be performed, but user burden and operational complexity increase
Solution Approach 1:
The evaluation system performs self-service by automatically applying evaluation results to related targets without requiring additional user input. The system uses predefined conditions (such as browsing history or document structure) to determine which targets receive the evaluation result, eliminating the need for users to manually evaluate each target while maintaining evaluation detail.
Solution Approach 2:
The evaluation interface serves multiple functions simultaneously: it receives evaluation input for one target, automatically applies that evaluation to other targets in the aggregate, and maintains detailed evaluation records. This multi-functionality reduces operational complexity while preserving evaluation precision.
3Productivity
If the system automatically applies evaluation results to related targets, then evaluation efficiency increases, but the system complexity increases
Solution Approach 1:
The system establishes predefined conditions (such as browsing history patterns or document structure relationships) in advance that determine when automatic evaluation result application occurs. This preliminary setup enables high evaluation efficiency through automation while keeping system complexity manageable, as the automation logic is pre-configured rather than dynamically complex.
Solution Approach 2:
The system introduces an intermediary mechanism that automatically transfers evaluation results from one target to related targets based on predefined conditions. This intermediary layer handles the complexity of automatic application, shielding users from system complexity while maintaining high evaluation efficiency through automated result propagation.
Data Source
AI summary
An information processing system receives an evaluation on one evaluation target by a user in an aggregate of evaluation targets, to which results of evaluations are to be individually given, and gives a result of the evaluation to another evaluation target different from the one evaluation target in a case where the one evaluation target is evaluated.