Video Task Content Generation with Interface Recognition
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Solution Overview
Problem
Creating rich and clear task content for computer interfaces is time-consuming and error-prone due to the manual process of recording user actions and capturing corresponding images, which requires significant time and effort from content developers.
Innovation Solution
A computer-implemented method that utilizes a video file with an associated transcript to identify task action terms, locate corresponding visual sections, capture interface elements, and generate task instruction documents augmented with visual content using image recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual recording of user actions and capturing of corresponding images is performed, then accurate task content can be created, but the time and effort required increases significantly
Solution Approach 1:
The system enables self-service by automatically recording user actions and capturing interface images without requiring manual intervention. The automated recording mechanism captures screenshots at specific intervals during user interactions, and the system automatically associates these images with the corresponding actions, eliminating the need for manual content creation while maintaining accuracy.
Solution Approach 2:
The patent replaces the mechanical manual process of recording actions and capturing images with an automated computer-based system. The system uses software to automatically detect user interactions, capture screenshots, extract interface elements, and generate task content documents, substituting human effort with automated computational processes.
2Measurement precision
If manual compilation of actions and images into structured format is performed, then accurate task content can be generated, but the process becomes error-prone and time-consuming
Solution Approach 1:
The system automatically compiles captured screenshots and extracted interface element information into structured task content documents without requiring manual intervention. The automated compilation process eliminates human errors associated with manual compilation while maintaining the structured format needed for accurate task content delivery.
Solution Approach 2:
The patent replaces the manual compilation process with an automated system that processes captured images and extracted data to generate structured documents. This substitution eliminates human errors in compilation while reducing the overall process complexity by handling multiple tasks automatically.
3Productivity
If automated video processing and image recognition are used, then time required for content creation is reduced, but the complexity of the system increases
Solution Approach 1:
The system segments the complex automated process into distinct functional modules: video recording, screenshot capture at specific intervals, interface element extraction using image recognition, and document generation. This segmentation allows each component to be optimized independently while working together to achieve high productivity through automation.
Solution Approach 2:
The patent introduces an intermediary processing layer that bridges the video recording and final document generation. This intermediary component processes captured screenshots and extracted interface element information to create structured task content, simplifying the overall system architecture while maintaining high automation levels and productivity.
Data Source
AI summary
A method, computer program product, and computer system are provided for automatically creating task content. The method includes receiving a video file with an associated transcript of audio associated with the video file and identifying task action terms in the transcript. For each task action term, the method includes: locating a visual section of the video file corresponding to the task action term; capturing at least a portion of the visual section of the video file; and using image recognition for identifying information relating to one or more interface elements that are being interacted with in the visual section. The method includes generating a task instruction document including the task action terms augmented with interface element information and with at least a portion of the captured visual section.


