Psychiatric Screening via Conversation Analysis
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Solution Overview
Problem
Current psychiatric disorder screening methods require individuals to visit specific locations, such as hospitals, at designated times, causing inconvenience and limiting accessibility.
Innovation Solution
A method and apparatus for psychiatric disorder screening based on conversation, using a system that outputs stimuli like stories, sounds, or pictures and analyzes responses to determine the presence of disorders by comparing correct answer ratios or voice features with those of normal and disease groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If psychiatric disorder screening is performed by experts at particular spaces and times, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables individuals to perform psychiatric disorder screening themselves at home using automated conversation analysis, eliminating the need for expert presence while maintaining diagnostic capability through AI-based voice and conversation analysis
Solution Approach 2:
The patent replaces the mechanical system of expert-driven face-to-face testing with an automated digital system that uses voice recognition, conversation analysis, and AI algorithms to perform screening independently
2Measurement precision
If psychiatric disorder screening is performed at hospitals, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system allows individuals to perform screening at their convenience without needing to book appointments or travel to hospitals, eliminating preparatory time loss while maintaining diagnostic accuracy through pre-programmed conversation analysis protocols
3Measurement precision
If traditional expert-based screening is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex human expert systems with automated voice recognition and conversation analysis technology, reducing operational complexity while maintaining or improving screening accuracy through systematic AI-based evaluation
Data Source
AI summary
Disclosed are a psychiatric disorder screening method and apparatus based on conversation. The psychiatric disorder screening apparatus outputs stimulation including at least one of a story, a word, a sound, a picture, a motion, a color or a direction, and when receiving a response to the stimulation from a testee, determines the presence or absence of a psychiatric disorder by comparing a correct answer ratio of the response or a voice feature included in the response with correct answer ratios or voice features of a normal group and a disease group.


