Wearable AR Object Notification System
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Solution Overview
Problem
Users often forget daily tasks and activities due to the numerous activities they engage in, leading to uncompleted tasks and missed opportunities, as existing systems lack effective reminders and notifications that are non-disturbing and tailored to their routines and interactions.
Innovation Solution
A wearable augmented reality (AR) system that identifies objects through a capture device, monitors user interactions, and generates customized notifications on a display device, prioritizing tasks based on user routines, current activities, and object categorization, providing reminders and recommendations for both routine and non-routine tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users engage in numerous activities, then productivity increases, but tasks are forgotten and completion reliability decreases
Solution Approach 1:
The system performs preliminary actions by monitoring user interactions and predicting tasks before users forget them. The AR system continuously captures images, identifies objects, and anticipates upcoming tasks based on learned routines, presenting notifications in advance to ensure task completion without interrupting the user's flow of activities.
Solution Approach 2:
The system implements feedback by monitoring user interactions with objects and using this information to generate predictive notifications. The AR system learns from observed routines and provides feedback in the form of contextual reminders that help users complete tasks reliably while maintaining high productivity across multiple activities.
2Reliability
If traditional notification systems are used, then task reminders are provided, but user disturbance increases
Solution Approach 1:
The notification system applies local quality by delivering reminders only in specific contexts where they are most useful. The AR system analyzes user routines and object interactions to determine the optimal timing and location for notifications, presenting them locally in the user's field of view only when relevant, thereby reducing general disturbance while maintaining reliable task reminders.
Solution Approach 2:
The notification system is dynamic rather than static, adapting its behavior based on real-time context. The AR system continuously monitors user activities and adjusts notification delivery dynamically, presenting reminders only when the user is not engaged in high-priority activities or when the notification is most likely to be helpful, thus reducing disturbance while maintaining reliability.
3Adaptability or versatility
If generic notifications are sent, then task coverage is broad, but personalization and effectiveness decrease
Solution Approach 1:
The system performs preliminary learning of user routines and preferences before generating notifications. By monitoring object interactions and establishing patterns during a calibration period, the AR system builds a personalized profile that enables it to deliver highly tailored notifications adapted to each user's specific habits, thereby achieving both broad task coverage and high personalization effectiveness.
Solution Approach 2:
The notification system serves itself by automatically learning and adapting to user behavior patterns without requiring manual configuration. The AR system monitors interactions, establishes routines, and generates personalized notifications autonomously, making the service increasingly effective over time while maintaining broad adaptability to different users and tasks.
Data Source
AI summary
The present specification describes a computer-implemented method. According to the method, an object within a range of vision of a user is identified via a capture device on a wearable augmented reality (AR) system worn by the user. A user interaction with an identified object within the range of vision of the user is monitored. A notification related to the identified object is generated and presented on a display device of the wearable AR system.