Voice User Interface Notification Ordering System
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Solution Overview
Problem
Current natural language processing systems for notification management do not efficiently order and summarize multiple notifications for users, leading to a cluttered and inconvenient user experience, especially when users have subscriptions across various notification systems.
Innovation Solution
A system that utilizes voice user interface (VUI) inputs to determine user preferences and system rules for ordering notifications, generating a digest of notifications as synthesized speech, and outputting them in a succinct manner based on user-defined preferences and device information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple notifications are delivered to users from various notification systems, then the quantity of information received by users increases, but the user experience deteriorates due to cluttered and inconvenient notification management
Solution Approach 1:
The system segments notifications by organizing them into groups based on notification systems, user preferences, and priority levels. This segmentation allows users to manage and access notifications in an organized manner rather than receiving them as a cluttered undifferentiated stream, thereby improving ease of operation while maintaining quantity of information.
Solution Approach 2:
The notification management system acts as an intermediary between multiple notification systems and the user. It receives notifications from various sources, processes them according to user preferences and system rules, and delivers them in an optimized sequence. This intermediary function filters and organizes the information flow, improving user experience without reducing the quantity of notifications received.
2Device complexity
If notifications are delivered in arbitrary order without ordering, then the complexity of the notification system is reduced, but the clarity and digestibility of information for users deteriorates
Solution Approach 1:
The system performs preliminary ordering of notifications based on user preferences and system rules before delivery. By pre-organizing notifications according to priority, recency, and user-defined criteria, the system ensures that information is presented in a clear and digestible sequence without adding significant complexity to the notification infrastructure.
Solution Approach 2:
The system changes the ordering parameters of notifications based on user preferences and context. By dynamically adjusting the sequence in which notifications are delivered based on factors such as priority level, time sensitivity, and user behavior patterns, the system improves information clarity while maintaining manageable system complexity through rule-based parameter adjustment.
3Loss of information
If the system processes and orders multiple notifications with user preferences and system rules, then the clarity of notification delivery is improved, but the computational processing requirements increase
Solution Approach 1:
The system applies different processing qualities to different notifications based on their characteristics. High-priority or time-sensitive notifications receive more detailed processing and ordering attention, while lower-priority notifications are processed with simpler rules. This local quality approach improves overall notification digestibility while optimizing computational resource usage by not uniformly applying complex processing to all notifications.
Data Source
AI summary
Techniques for ordering the output of notification summaries are described. A system may receive multiple notifications intended for a same user or group of users. In response to receiving a user input requesting output of notifications (or in response to multiple notifications expiring soon), the system may identify multiple notifications intended for the user or group of users. The system generates natural language summaries of the notifications, and orders the natural language summaries based on one or more default ordering rules, one or more user preferences, one or more notification provider preference, and/or user feedback. The system then outputs the ordered natural language summaries to the user.