Automated AR Tutorial Authoring via Multimodal Sensor Tracking
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Solution Overview
Problem
Existing methods for authoring augmented reality (AR) tutorials for digital instruments require manual placement and sizing of visualizations, which is cumbersome and prone to errors due to hand occlusion of small physical user interface elements, increasing cognitive load and workload for authors.
Innovation Solution
A system that records interactions with physical user interface elements using sensors and a hand wearable controller, automatically generating AR visualizations and providing feedback, allowing for automated authoring and provision of AR tutorials without manual design, using a multimodal approach combining finger pressure and gesture tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual placement and manipulation of virtual objects is used to create AR tutorials, then precise control of visualization placement is achieved, but authoring workload and cognitive load increase significantly
Solution Approach 1:
The system automatically determines the placement and configuration of AR visualizations by analyzing sensor data from the demonstration process. The authoring system serves itself by autonomously generating tutorial content from recorded interactions, eliminating the need for manual placement and manipulation of virtual objects while maintaining precise alignment with physical interface elements.
Solution Approach 2:
The patent replaces the manual mechanical interaction of dragging and dropping virtual objects with an automated sensor-based system. Sensors record the demonstrator's interactions with physical interface elements, and this data automatically drives the placement and configuration of corresponding AR visualizations, substituting manual manipulation with automated detection and rendering.
2Reliability
If overhead cameras are used to track manipulated objects, then object trajectories can be captured, but tracking reliability decreases due to hand occlusion of small physical user interface elements
Solution Approach 1:
The system employs multiple sensor types (cameras, depth sensors, inertial measurement units) that serve dual purposes: tracking hand movements and detecting interactions with physical interface elements. This multi-functional sensor array overcomes the limitations of single-camera systems by providing redundant detection modalities that remain reliable even when hands occlude small interface elements.
Solution Approach 2:
The patent introduces intermediate sensors (such as force sensors, capacitive sensors, or optical sensors) placed on or near the physical interface elements to detect interactions. These intermediary sensors act as mediators between the user's hand movements and the AR visualization system, providing reliable detection data even when direct visual tracking is blocked by hand occlusion.
3Ease of operation
If AR visualizations are displayed directly on the digital instrument, then user cognitive load is reduced by eliminating context switching, but manual adjustment of visualization placement becomes more time-consuming
Solution Approach 1:
The system performs preliminary actions by pre-configuring AR visualizations to automatically follow and align with physical interface elements during the demonstration. The visualization placement and scaling are predetermined by the system's analysis of the physical instrument's geometry and interface element locations, eliminating the need for manual adjustment during the authoring process.
Solution Approach 2:
The patent implements dynamic AR visualizations that automatically adapt their placement, size, and orientation based on the real-time position and state of physical interface elements. This dynamic behavior allows visualizations to remain properly positioned and scaled throughout the demonstration without requiring manual adjustment, as the system continuously updates visualization parameters based on sensor feedback.
Data Source
AI summary
A digital instrument tutorial system is introduced herein, which enables the authoring and provision of augmented reality (AR) tutorials for operating digital instruments. The digital instrument tutorial system provides an automated authoring workflow for users (e.g., an expert user and/or author) to create sequential AR tutorials for digital instruments by intuitive embodied demonstration. The digital instrument tutorial system advantageously utilizes a multimodal approach that combines finger pressure and gesture tracking to translate the author's operations into AR visualizations. Aside from recording a tutorial for a task, the digital instrument tutorial system also provides an access mode, in which the AR tutorial is provided to a novice user.