Mobile Notification System Using Biometric Context for Sensory Alert Prioritization
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Solution Overview
Problem
Existing notification systems often fail to effectively manage user attention, as they can be distracting or disruptive, especially with the increasing use of multiple devices receiving redundant alerts, and lack efficient methods to prioritize notifications based on urgency and impact.
Innovation Solution
A notification management system that uses biometric data to identify users and generate tailored sensory alerts, such as vibrating pulses, audible alerts, and visual alerts, based on the urgency and impact of notifications, allowing for efficient communication and response collection without interrupting users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple computing devices send redundant notifications to users, then the user is ensured to receive the notification, but the user experiences distraction and disruption from multiple redundant alerts
Solution Approach 1:
The patent applies local quality by customizing notification characteristics (sound, light, vibration patterns) for each specific notification and user context. Different devices send differentiated rather than identical alerts, with each device tailoring its notification style to the specific event type and user preferences, thereby maintaining reliability while reducing redundant disruption.
Solution Approach 2:
The system dynamically adjusts notification delivery based on user context, device state, and notification urgency. Notifications are adaptively modified in real-time regarding when and how they are delivered across multiple devices, allowing the system to maintain reliable delivery while minimizing harmful disruptions by suppressing or modifying redundant alerts based on current user activity and context.
2Loss of information
If notification alerts are output to obtain user attention, then the user becomes aware of the notification, but the alert is perceived as a distraction or disruption at a particular time
Solution Approach 1:
The system uses periodic action by implementing timed notification delivery and user activity-based triggering. Instead of immediate continuous alerts, notifications are delivered at strategically chosen moments when the user is likely to be available and attentive, using periodic checks of user context and activity state to determine optimal delivery timing, thereby ensuring awareness while minimizing distraction.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors user responses, engagement patterns, and context to continuously optimize notification delivery. By analyzing user feedback on notification timing and style, the system adapts future notification behavior to achieve better balance between ensuring user awareness and minimizing disruptive distraction.
3Measurement precision
If users manually analyze large data sets, then accurate insights can be obtained, but the process is time-consuming and inefficient
Solution Approach 1:
The patent introduces an intermediary automated analysis system that processes large data sets between the user and the final insights. This intermediary system performs initial data processing, pattern recognition, and filtering, presenting refined results to users for verification. This maintains measurement precision by having users review key findings while dramatically improving productivity by automating the time-consuming manual analysis of large data volumes.
Solution Approach 2:
The system performs preliminary data analysis actions automatically before user review, pre-processing large data sets to identify patterns, anomalies, and key insights. This preliminary automated action filters and structures data in advance, so when users do engage with the data, they are working with pre-analyzed, organized information that maintains accuracy while reducing the time and effort required for manual analysis.
Data Source
AI summary
A method and system for generating an event notification on a mobile electronic device is provided. A notification message including an event impact record and a notification urgency record is received on the mobile electronic device. An impact sensory alert is generated based on the comparison between the event impact record with a plurality of sensory alerts presets of first sensory output signals and second sensory output signals. An urgency sensory alert is also generated based on the comparison between the notification urgency record with the plurality of sensory alerts presets of the first sensory output signals and the second sensory output signals. The impact sensory alert and the urgency sensory alert are outputted via the first sensory output signals and second sensory output signals.