Touch and Voice Genogram Creation With AI Relationship Mapping
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Solution Overview
Problem
Conventional genogram creation tools are complex for inexperienced users, making it difficult for them to correctly edit and represent family relationships using symbols and graphical interfaces.
Innovation Solution
A method utilizing touch and voice input on a touchscreen device, combined with a cloud server, to create genograms through touch-based location detection, voice recording, speech-to-text conversion, and generation of graphical datasets using a generative language model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional genogram templates with multiple symbols are used, then comprehensive family relationship representation is achieved, but user operation complexity increases significantly
Solution Approach 1:
The system automatically generates genogram symbols and relationships by processing user-provided family information through speech-to-text conversion and generative language models. The system serves itself by automatically interpreting natural language descriptions and converting them into standardized genogram representations without requiring manual symbol selection or configuration by the user.
Solution Approach 2:
The patent replaces the manual mechanical process of selecting and placing genogram symbols with an automated speech-based system. Users speak natural language descriptions of family relationships, which are then automatically converted into structured data and rendered as visual genograms, eliminating the need for manual interaction with complex symbol libraries and graphical interfaces.
2Manufacturing precision
If manual editing of genogram templates is required, then precise control over genogram elements is achieved, but time consumption increases
Solution Approach 1:
The system performs preliminary processing of family relationship data through speech-to-text conversion and generative language model interpretation before visual generation. By pre-structuring the family information data during the speech processing phase, the system eliminates the need for manual editing and directly generates accurate genograms, significantly reducing creation time while maintaining precision through automated data validation and structure verification.
Solution Approach 2:
The system automatically generates precise genogram representations by processing user speech through multiple conversion stages. The generative language model self-corrects and validates the family relationship data structure, automatically placing symbols and relationships with correct positioning and formatting without requiring manual adjustment or editing by the user.
3Adaptability or versatility
If graphical user interface with multiple symbols is provided, then comprehensive genogram functionality is achieved, but device complexity increases
Solution Approach 1:
The patent extracts the complexity of genogram symbol selection and placement from the user interface and relocates it to the backend processing system. The interface is simplified to only require speech input and basic touch interactions, while the complex symbol library, relationship mapping, and graphical rendering functions are handled automatically by the speech-to-text conversion system and generative language models running on the server or device.
Data Source
AI summary
A method for creating a genogram of a family using touch and voice input includes: in response to a user touching a part of a touchscreen, generating a touch signal indicating a set of coordinates on the touchscreen at which a touch action occurred; recording a voice input from the user, the voice input including speech describing the family; obtaining an input text that is converted from the voice input; obtaining, using a generative language model based on a content of the input text, a genogram dataset in a format that is for generating the genogram; transforming the genogram dataset into a graphical genogram dataset; and creating the genogram based on the graphical genogram dataset, using the set of coordinates as a reference point, the genogram including at least one icon representing a member of the family.


