AR Education System with Automated Feedback and Positional Guides
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Solution Overview
Problem
Current augmented reality (AR) education systems struggle to accurately convey complex training content to multiple learners simultaneously, as instructors face challenges in providing individualized feedback due to variations in learner device specifics and field of view, leading to inefficiencies in training effectiveness.
Innovation Solution
A system and method for AR education that includes an instructor terminal, an AR service providing server, and learner terminals, which analyze training spaces and generate user-customized training support information to set virtual object positions, allowing simultaneous training with tailored guides based on learner positions and device specifics, enabling effective AR-based training across diverse environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the instructor provides feedback for each individual learner in simultaneous training, then the training effectiveness for each learner is improved, but the time required to provide feedback increases significantly
Solution Approach 1:
The system enables learners to receive automated feedback through the AR platform without requiring the instructor to manually provide feedback to each learner. The platform automatically processes learner actions, compares them with training content, and delivers feedback messages, allowing the system to serve itself in the feedback provision process.
Solution Approach 2:
The AR training platform acts as an intermediary between the instructor and learners. The instructor inputs feedback information once, and the platform automatically distributes and delivers this feedback to multiple learners simultaneously, eliminating the need for the instructor to directly interact with each learner individually.
2Measurement precision
If the system provides customized training guides for each learner based on device specifics and position, then the training accuracy is improved, but the system complexity increases
Solution Approach 1:
The system provides customized training guides tailored to each learner's specific device characteristics and physical position. By analyzing device-specific parameters (field of view, resolution, aspect ratio) and position data, the system adjusts virtual object positions and guide presentations to match each learner's local context, ensuring optimal training accuracy for each individual.
Solution Approach 2:
The system dynamically changes multiple parameters including virtual object position, guide presentation style, and feedback delivery method based on detected learner characteristics. By automatically adjusting these parameters according to device specifics and position data, the system achieves high training accuracy without requiring complex manual configuration.
3Adaptability or versatility
If the instructor manually adjusts virtual object positions for each learner, then the training suitability is improved, but the time and effort required increases
Solution Approach 1:
The system automatically determines appropriate virtual object positions based on learner position data and device characteristics without requiring instructor intervention. The platform self-adjusts the training configuration by processing detected position information and automatically setting virtual object placements suitable for each learner's context.
Solution Approach 2:
The system performs preliminary analysis of learner position and device characteristics before training begins, pre-configuring virtual object positions and guide presentations. This preliminary action ensures training suitability is established in advance, eliminating the need for time-consuming manual adjustments during the training process.
Data Source
AI summary
Provided is a system for education in augmented reality (AR) for technology education in AR, The system for education in AR includes an instructor terminal configured to, in order to guide training of at least one learner on site or remotely using AR content, identify a training process of the trainee and generate training support information, an AR service providing server configured to manage the instructor terminal and a learner terminal that participate in the training using the AR content based on a request of the instructor terminal, and at least one learner terminal configured to transmit content training information to the AR service providing server.