Shadow Cursor Guidance for In-App AI User Tutorials
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Solution Overview
Problem
Conventional project and document management systems require extensive user training, which can distract users and reduce productivity due to the need to switch between the system and training materials, making it difficult for users to navigate and utilize system features effectively.
Innovation Solution
Implementing a shadow cursor that automatically predicts and simulates user workflows by analyzing user interactions, using AI/ML to determine likely training workflows and guide users through system functionalities without the need for additional documentation or videos.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional training methods (videos, presentations, help files) are provided, then users can learn system functionalities, but users must context switch between the system and training materials which reduces productivity
Solution Approach 1:
The patent combines training functionality directly within the application interface by implementing a shadow cursor that overlays instructional guidance on top of the actual system being trained. This merging eliminates the need for separate training materials and context switching, allowing users to learn and operate simultaneously within the same interface.
Solution Approach 2:
The shadow cursor acts as an intermediary element that provides training information without blocking user interaction with the underlying system. It serves as a mediator between the training content and the application interface, delivering guidance while maintaining access to system functionalities.
2Adaptability or versatility
If multiple user interface components (side bar, top bar, main application) are added to enhance system functionality, then system capabilities are improved, but the user interface becomes more complex and less intuitive
Solution Approach 1:
The shadow cursor applies training information locally at the specific location where user interaction is needed, rather than providing global documentation. Each training element appears contextually relevant to the current interface element being explored, making the complex interface feel more manageable through localized guidance.
3Ease of operation
If extensive user training is provided through separate materials, then users can learn system features, but training time and cognitive load increase
Solution Approach 1:
The shadow cursor provides training information in advance of when users need it, anticipating user actions and displaying relevant guidance before users encounter unfamiliar interface elements. This preliminary provision of information reduces the time users spend searching for help during the learning process.
Solution Approach 2:
The training experience is made continuous rather than interrupted by separate study sessions. Users engage with training content continuously as they explore the interface, maintaining a steady learning rhythm without breaking into separate training and operation phases.
Data Source
AI summary
A multimodal content management system having a block-based data structure can implement techniques for utilizing a shadow cursor for automatic artificial intelligence (AI)-assisted user tutorials. In one example, the system can automatically determine an entry point for a user tutorial session, where the user tutorial session relates to a training workflow predicted for the user. The system can generate and bind, to the determined entry point, a shadow cursor, the shadow cursor comprising a gradient field (e.g., a radial gradient) to visually emphasize a relevant portion of the GUI. The system can automatically guide the user through the tutorial using the shadow cursor. The training workflow can be automatically determined or generated based on user characteristics, task characteristics, or other suitable items. The shadow cursor can include additional contextual or explanatory elements to guide the user through the training workflow.