Expert Knowledge Auxiliary Analysis System for Behavioral Evaluation
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Solution Overview
Problem
Existing methods for disseminating professional knowledge, such as in child psychoanalysis, are inefficient and prone to errors due to the reliance on expert tacit knowledge that is not systematically recorded, leading to inconsistent and inaccurate analysis of children's behavioral issues.
Innovation Solution
An auxiliary analysis system and method using expert information that includes a user interface and a determination module, which allows users to select analysis items to generate preliminary results, and an operation process that weights and ranks these results to produce a final judgment, supported by an administrator interface for editing and updating analysis items and preliminary results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If expert knowledge is disseminated through books or proficient teaching, then knowledge can be systematically recorded and transmitted, but the knowledge cannot be updated continuously to address new problems
Solution Approach 1:
The system implements feedback mechanisms where evaluation results are continuously collected and used to revise evaluation methods and parameters. Experts can update evaluation criteria based on accumulated feedback, allowing the systematic knowledge base to adapt to new problems while maintaining its structured organization.
Solution Approach 2:
The evaluation system is designed to be dynamic rather than static. Evaluation methods, parameters, and criteria can be continuously updated and revised based on new expert input and accumulated case data, enabling the systematic knowledge to evolve and address emerging problems.
2Adaptability or versatility
If experts revise or add options and parameters according to their accumulated experience, then the professional knowledge can adapt to actual demands, but the experience remains tacit knowledge that cannot be systematically validated
Solution Approach 1:
The system creates explicit copies of expert tacit knowledge by encoding evaluation criteria, parameters, and methods into a standardized digital format. This allows expert experience to be systematically recorded, validated, and reproduced consistently across different users and cases.
Solution Approach 2:
The system collects feedback from actual evaluation cases and uses it to validate and refine expert knowledge. By systematically recording evaluation results and comparing them against expected outcomes, the system validates expert experience and identifies areas for improvement.
3Measurement precision
If famous experts serve customers personally, then accurate analysis can be provided, but the service capacity is limited by high cost and time constraints
Solution Approach 1:
The system enables self-service evaluation where users can independently conduct comprehensive psychological evaluations without requiring expert intervention for every case. The standardized evaluation tools and automated analysis provide accurate results that were previously only available through expensive expert consultation.
Solution Approach 2:
The system creates digital copies of expert evaluation capabilities, embedding expert knowledge into automated evaluation algorithms. This allows the accuracy of expert analysis to be replicated and scaled to serve many users simultaneously without being constrained by expert availability.
4Adaptability or versatility
If experts conduct subjective analysis based on their experience, then professional judgment can be applied, but misjudgment risks increase due to subjective bias
Solution Approach 1:
The system implements feedback loops where evaluation results are systematically collected, analyzed, and used to identify patterns and improve evaluation criteria. This reduces subjective bias by grounding expert judgment in empirical data and accumulated case evidence.
Solution Approach 2:
The system transforms subjective expert judgment into objective parameter-based evaluation. By defining specific evaluation parameters, criteria, and weighting systems, the system reduces reliance on subjective interpretation while maintaining professional judgment quality.
Data Source
AI summary
An auxiliary analysis system using expert information comprises a user interface and a determination module. The user interface includes a plurality of analysis items which can be triggered by a user. The determination module coupled with the user interface includes a plurality of preliminary results corresponding to the analysis items. Each of the analysis items corresponds to at least one of the preliminary results. The user selects a plurality of analysis items to generate multiple preliminary results, and the preliminary results further generate a final judgment result by an operation process.