Context-Based Notification Delivery on Wearables

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Solution Overview

Problem

Existing notification systems fail to selectively communicate messages based on social context, leading to intrusive or missed notifications in sensitive situations, as they do not adequately consider environmental and physiologic parameters to determine appropriate timing and manner of notification delivery.

Innovation Solution

A notification device with a context engine and notification engine that assesses social context using environmental and physiologic parameters, employing machine learning processes to selectively communicate notifications, potentially delaying or suppressing them to minimize intrusiveness, and utilizing cloud resources for less intensive computing requirements on wearable devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If notifications are communicated automatically without context analysis, then notification delivery speed is improved, but notification appropriateness deteriorates

Engineering Contradiction:

Improvenotification delivery speedVSAvoidnotification appropriateness

Core Design Contradiction:

SpeedVSAdaptability or versatility

Solution Approach 1:

The system performs preliminary analysis of social context, environmental parameters, and user state before delivering notifications. The context engine evaluates multiple factors in advance to determine the appropriateness of notification delivery, ensuring that notifications are communicated at suitable moments rather than automatically without consideration of current conditions.

Inventive Principle:

Principle #10Preliminary action

2Adaptability or versatility

If context analysis is performed for each notification, then notification appropriateness is improved, but processing time increases

Engineering Contradiction:

Improvenotification appropriatenessVSAvoidprocessing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback loops where user responses to notifications are analyzed and fed back into the context model. This allows the system to learn from past interactions and improve future notification decisions, reducing the need for extensive real-time analysis while maintaining high appropriateness.

Inventive Principle:

Principle #23Feedback

3Object-affected harmful factors

If notifications are suppressed or delayed in sensitive situations, then user annoyance is reduced, but information delivery reliability deteriorates

Engineering Contradiction:

Improveuser annoyanceVSAvoidinformation delivery reliability

Core Design Contradiction:

Object-affected harmful factorsVSReliability

Solution Approach 1:

The notification delivery system dynamically adjusts its behavior based on real-time context analysis. Rather than static suppression or delivery rules, the system continuously evaluates environmental parameters, social context, and user state to determine the optimal delivery timing and method, allowing flexible adaptation to sensitive situations while maintaining reliability when appropriate.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

Inventive Principle:

Principle #23Feedback

4Measurement precision

If multiple environmental and physiologic parameters are monitored, then context accuracy is improved, but device complexity increases

Engineering Contradiction:

Improvecontext accuracyVSAvoiddevice complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The context analysis system is segmented into specialized modules, each responsible for monitoring and analyzing specific types of parameters (environmental, social, physiologic). This modular architecture allows the system to handle multiple parameter types independently, reducing overall complexity while maintaining comprehensive context accuracy through coordinated module operation.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10812648B2Context-based notification

Publication Date: 2020.10.20 HEWLETT PACKARD DEVELOPMENT COMPANY LP

AI summary

A device includes a context engine and a notification engine. The context engine determines a context indicator relative to received input while the notification engine selects, based on the context indicator and the received input, at least one type of notification from different types of notifications. A wearable electronic arrangement selectively communicates, and senses for different types of single user response to, at least a portion of the received input via the selected type of notification. The context engine receives feedback regarding the sensible different types of single user response to at least partially determine the context indicator.