Context-Aware Multimodal Notification Routing in Extended Reality
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Solution Overview
Problem
Existing notification systems in multi-device environments are inefficient and distracting, failing to effectively manage notifications across different devices based on user context and environment, leading to user confusion and missed notifications.
Innovation Solution
A system that dynamically adjusts notification presentation across multiple devices (head-wearable and peripheral devices) based on sensor data, automatically determining the most appropriate modality and device for notifications, considering user context, environment, and activity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If notifications are provided across multiple devices simultaneously, then notification delivery reliability is improved, but device complexity and user confusion increase
Solution Approach 1:
The notification system is segmented by assigning different notification types to different devices based on their capabilities and current state. The system divides the notification delivery task across multiple devices (head-wearable, wrist-wearable, audio devices) rather than using all devices simultaneously, reducing complexity while maintaining reliability through distributed notification handling.
Solution Approach 2:
The notification routing is dynamically adjusted based on real-time sensor data from devices and user state. The system continuously monitors context (activity, location, environmental factors) and adapts which device receives which notification, optimizing delivery reliability while minimizing the number of active notification channels to reduce complexity.
2Reliability
If notifications are dynamically adjusted based on sensor data and context, then notification effectiveness is improved, but processing requirements and energy consumption increase
Solution Approach 1:
The system performs preliminary assessment of user context and device states before generating notifications. By evaluating sensor data, current activities, and environmental factors in advance, the system determines the most appropriate notification delivery method beforehand, avoiding unnecessary processing and energy expenditure during actual notification delivery.
Solution Approach 2:
The notification system changes parameters such as notification modality (visual, auditory, haptic), timing, and target device based on detected context parameters from sensors. This adaptive parameter adjustment optimizes notification effectiveness while the system only activates processing when context changes occur, reducing overall energy consumption.
3Adaptability or versatility
If manual controls are provided for notification settings, then user customization is improved, but ease of operation deteriorates due to excessive settings management
Solution Approach 1:
The notification system automatically adjusts notification delivery based on sensor data and detected user context without requiring manual configuration. The system serves itself by monitoring environmental factors, user activities, and device states to dynamically optimize notification routing, eliminating the need for users to manually manage complex notification settings while maintaining high adaptability.
Solution Approach 2:
The system incorporates feedback loops where sensor data from devices and user responses to notifications are continuously monitored. This feedback enables the system to learn and adapt notification delivery patterns automatically, providing customization through observation and adaptation rather than manual settings management.
4Reliability
If notifications are provided in multiple modalities, then notification reliability is improved, but distraction and information overload increase
Solution Approach 1:
Different notification modalities are assigned to different devices based on their local characteristics and current usage context. Rather than using multiple modalities simultaneously across all devices, the system selects the most appropriate modality for each specific notification type and device combination, ensuring reliable delivery while minimizing distraction through modality-specific optimization.
Data Source
AI summary
A system for controlling notification outputs at a head-wearable device that is in communication with one or more peripherals. The system is configured to receive a request to provide a notification, and in response to receiving the request to provide the notification: in accordance with a determination that the head wearable device and one of the one or more peripheral devices are in a first state based on first data from one or more sensors of the system, presenting a notification in a first manner that corresponds to the request to provide the notification, and in accordance with a determination that the head wearable device and one of the one or more peripheral devices are in a second state based on second data from the one or more sensors of the system, presenting a notification in a second manner that corresponds to the request to provide the notification.