Automated Infographic Rendering for Structured Profile Data
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Solution Overview
Problem
Professionals lack the ability to create effective infographics to present their professional résumés or profiles due to lack of design skills, data organization, and lack of a marketplace for infographic creation and tracking viewer engagement, with no systems for dynamic and interactive presentations or aggregate infographics.
Innovation Solution
A processor-implemented method and apparatus for creating infographics by receiving, storing, and generating infographics based on structured data and predefined schema, allowing for dynamic rendering and interactive features, with a system that combines data, infographic definitions, and visual styling to produce individual or aggregate infographics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If professionals hire specialists to create infographics, then the infographic quality and design effectiveness are improved, but the cost and time required increase significantly
Solution Approach 1:
The system enables professionals to create their own infographics by providing automated tools that transform their personal data into visual representations without requiring design specialists. The automated infographic generation system processes user-provided data and produces customized infographics independently, eliminating the need to hire external designers while maintaining quality through structured templates and algorithms.
Solution Approach 2:
The patent replaces manual mechanical processes of hiring designers and performing manual data transformation with automated computational systems. The system automatically processes lexical and unstructured data, transforms it into coherent formats, generates visual representations, and handles all infographic creation tasks through software algorithms rather than human designers.
2Ease of operation
If professionals manually organize and transform their data into coherent formats, then the data usability for infographic construction is improved, but the process becomes costly and time-consuming
Solution Approach 1:
The system automatically performs data transformation by receiving lexical and unstructured data from professionals, processing it through computational algorithms, and converting it into coherent, usable formats suitable for infographic generation. This automated data processing eliminates manual organization and transformation tasks while improving data usability.
Solution Approach 2:
The system introduces an automated data processing layer that acts as an intermediary between the professional's raw data and the final infographic output. This intermediary component automatically transforms, organizes, and structures the data into coherent formats, serving as a bridge that eliminates manual transformation efforts.
3Manufacturing precision
If professionals manually plot data before constructing infographics, then the presentation effectiveness is improved, but the process becomes time-consuming and requires design expertise
Solution Approach 1:
The automated system performs data plotting and visualization without requiring professional intervention. The system independently analyzes the data, determines optimal visual representations, and generates infographics with effective presentations, eliminating the need for professionals to manually plot data while maintaining presentation effectiveness.
Solution Approach 2:
The system automatically adjusts visualization parameters such as chart types, data mappings, and visual styles based on the input data characteristics. By dynamically changing these parameters through algorithms, the system achieves effective presentations without requiring manual plotting expertise or complex process intervention.
4Adaptability or versatility
If conventional methods are used for infographic creation, then the basic infographic generation is possible, but there is no marketplace for tracking viewer engagement or testing different presentations
Solution Approach 1:
The system integrates multiple functions into a single platform including infographic generation, viewer engagement tracking, A/B testing capabilities, and data processing. This multi-functional approach enables engagement tracking and presentation testing without requiring separate systems, achieving versatility while managing complexity through unified architecture.
Solution Approach 2:
The system incorporates feedback mechanisms that track viewer engagement metrics and use this information to optimize infographic presentations. By collecting data on viewer behavior and using it to refine future generations, the system achieves adaptability and improved presentation effectiveness through automated feedback loops rather than complex manual testing processes.
Data Source
AI summary
In one embodiment, a method for creating one or more infographics, comprising: receiving and storing data associated with an individual or an entity, in a format according to a schema that includes at least two properties associated with the individual or entity; reading at least a portion of the data; determining which of the at least two properties in the schema do not have corresponding read data associated with the individual or entity; based on that determination, selecting an infographic definition from among a plurality of infographic definitions defining the appearance of at least a portion of an infographic; generating one or more infographics based on (i) the at least a portion of the data and (ii) the selected infographic definition; and providing the one or more generated infographics to an output device.