Explanatory Animation Generation for Complex Data Relationships
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Solution Overview
Problem
The challenge lies in efficiently utilizing large amounts of interconnected data from various sources, such as websites and databases, without manual gathering, filtering, and presentation, which is time-consuming and often not fully realized due to these tasks being daunting and expensive.
Innovation Solution
Systems and methods for automatically generating continuous animations that guide users through complex interrelated information by determining relationships between entities and creating visualizations with voiceover narrations, using visualization templates and text-to-speech engines to present data in a concise and understandable format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual gathering, reviewing, filtering, linking, assembling, and presenting of data is performed, then comprehensive understanding of data relationships is achieved, but time consumption and cost increase significantly
Solution Approach 1:
The system performs automatic data gathering, filtering, linking, and visualization without requiring manual human intervention. The computer system serves itself by automatically processing data from multiple sources, determining relationships between data items, and generating visual presentations with narration, thereby eliminating the need for manual data processing while maintaining comprehensive understanding of data relationships.
Solution Approach 2:
The patent replaces manual mechanical processes (human gathering, reviewing, filtering, linking, assembling, and presenting) with automated computational processes. The system uses algorithms to determine relationships between data items, generates visualizations automatically, and employs text-to-speech engines for narration, substituting human manual labor with automated mechanical systems.
2Loss of information
If manual data processing is performed to achieve comprehensive understanding, then data benefits are realized, but the process becomes daunting and expensive
Solution Approach 1:
The system automatically performs all data processing tasks including gathering from multiple sources, filtering relevant information, determining relationships between data items, and generating visual presentations. This self-service approach eliminates the daunting complexity of manual processing while fully realizing data benefits through automated relationship analysis and visualization.
Solution Approach 2:
The system performs multiple functions in an integrated manner: it gathers data from various sources, filters information, determines relationships between data items, generates visualizations, and creates narration. This multi-functional automated system handles the entire data processing workflow, reducing complexity by consolidating multiple manual tasks into a single universal system.
3Productivity
If automated visualization with voiceover narration is generated, then quick understanding of complex data relationships is enabled, but automation extent must be increased
Solution Approach 1:
The system completely automates the data processing and visualization generation process without human intervention. It automatically gathers data, determines relationships, selects appropriate visualization templates, generates visual presentations, and creates voiceover narration through text-to-speech engines. This full automation enables quick understanding of complex data relationships while managing the high extent of automation through integrated automated processes.
Data Source
AI summary
Various embodiments included herein include at least one of systems, methods, and software for explanatory animation generation. Some embodiments include receiving data representative of at least two data items, each data item to be presented as a node. Relationships between these data items are discovered in an interrelated dataset and the relationship is illustrated as a set of sequential nodes on a canvas. A text-script descriptive of each of the nodes is then generated. Finally, such embodiments include generating a visualization with a synchronized voiceover based on the sequence nodes and the text-script, the visualization including each node with a synchronized voiceover of each node.