Automated Content Generation via User Interaction Capture
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Solution Overview
Problem
The creation of content for software applications is time-consuming due to the need for content developers to work with software developers and the requirement for repetitive manual efforts across various languages, expertise levels, formats, and business processes, making existing content creation techniques inefficient.
Innovation Solution
An automated content generation system that captures user interactions with software applications and translates them into various content formats, including documents, videos, and presentations, using a system comprising a capture engine, automated process scenarios detector, rules repository, metadata repository, content template repository, and language translator to generate content quickly and efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content developers work with software developers to create training materials manually, then content can be created with human oversight and quality control, but the content creation process becomes extremely time-consuming and inefficient
Solution Approach 1:
The system enables self-service content generation where the software application automatically generates its own training materials, user manuals, and documentation through the automated content generator that captures user interactions and converts them into structured content without requiring manual intervention from content developers
Solution Approach 2:
The capture engine continuously records user interactions with the software application in the background, storing this data in a repository for later processing. This preliminary capture of interaction data enables rapid content generation when needed, as the raw material is already collected and organized
2Adaptability or versatility
If content is created in multiple languages, expertise levels, and formats using manual techniques, then content can serve diverse user needs, but the time and effort required increases significantly
Solution Approach 1:
The automated content generator is designed to produce multiple types of content (training materials, user manuals, help files, videos, animations) in various formats and languages from a single source of captured user interactions, making the system universally applicable to diverse content needs without requiring separate manual creation processes for each format
Solution Approach 2:
The system changes output parameters such as language, format, and target expertise level by processing the same captured user interactions through different templates and translation rules, enabling the generation of localized content in multiple languages and formats automatically based on the desired output parameters
3Ease of manufacture
If repetitive manual acts are used in content creation with authoring tools, then some effort reduction is achieved, but the process remains tedious and time-consuming
Solution Approach 1:
The system replaces the mechanical process of manual content creation using authoring tools with an automated computational process that uses machine learning models and natural language processing to generate content automatically from captured user interactions, eliminating the need for repetitive manual acts entirely
Data Source
AI summary
The present disclosure is related to automatic content generation. In one example, user interactions, associated with a target business process software application, are captured and stored. Further in this example, one or more scenarios of using the target business process software application are determined from the captured and stored user interactions. A set of rules are then formed and stored in a rules repository to generate the content. The content is then automatically generated using the captured and stored user interactions, the determined one or more scenarios of using the target business process software application and/or the stored set of rules.