Voice Event Reporting Along Navigable Routes With Context Awareness
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Solution Overview
Problem
Existing map navigation systems face challenges in efficiently reporting real-time events due to cluttered user interfaces that require complex and hazardous user interactions, especially while operating a vehicle.
Innovation Solution
A real-time event tracking system that processes verbal descriptions and contextual information to generate concise event summaries, reducing the need for user-interactable elements and improving accuracy and clarity by using AI models for spam identification and event classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user-interactable elements are added for reporting more event types, then the system can track more diverse events, but the user interface becomes cluttered and harder to interact with safely
Solution Approach 1:
The patent replaces manual touch interactions with voice-based reporting. Users can report events by speaking natural language descriptions instead of navigating complex UI elements. This substitution of mechanical touch interaction with acoustic voice input resolves the contradiction by maintaining comprehensive event reporting capability while eliminating the need for cluttered UI elements, thereby improving ease of operation and safety.
Solution Approach 2:
The patent implements a universal voice input interface that can handle multiple event types through a single interaction mode. Instead of having separate UI elements for different event types (accidents, congestion, road closures, etc.), the system uses one voice-based reporting mechanism that can identify and categorize any event type. This multi-functional approach maintains versatility while simplifying the interface.
2Loss of information
If complex user interfaces with multiple interactable elements are provided, then users can report specific event types, but interaction becomes slower and more hazardous while operating a vehicle
Solution Approach 1:
The system replaces time-consuming manual UI navigation with immediate voice-based reporting. Users can report events by simply speaking, which is much faster than searching through multiple UI menus and elements. This substitution maintains reporting accuracy through voice recognition and natural language processing while dramatically reducing the time required to report events, thereby addressing both loss of information and loss of time.
Solution Approach 2:
The system performs preliminary classification and processing of voice inputs to quickly identify event types and relevant details. By pre-configuring event categories and using AI models to automatically classify reported events, the system reduces the time needed for accurate event reporting without requiring users to manually navigate through detailed UI options.
3Measurement precision
If AI models are used for spam identification and event classification, then event reporting accuracy is improved, but computational resources and power consumption increase
Solution Approach 1:
The patent segments the AI processing into multiple stages: initial spam filtering, event type classification, and detailed analysis. By dividing the computational workload into sequential segments, the system can use lighter computational models for initial filtering and reserve more intensive AI processing only for events that pass initial screening. This segmented approach maintains high classification accuracy while reducing overall power consumption compared to applying heavy AI models to all inputs.
Solution Approach 2:
The system applies AI processing selectively rather than universally. Not all voice inputs require full AI analysis - the system uses partial processing for routine events and reserves excessive (full) AI processing only for ambiguous or complex cases. This partial action approach maintains accuracy for critical events while reducing unnecessary computational overhead and power consumption for straightforward reporting scenarios.
Data Source
AI summary
Aspects of the technology relate to real time event tracking for generating and providing summaries of events reported by users along navigable routes. An example real time event can be a traffic event that is observed by a user navigating along a route provided by a navigation system. The tracking system can receive verbal descriptions of events and contextual information for a navigable route on which a user computing device in communication with the tracking system may be operated. Contextual information can be any type of information relating to the navigable route, for example previous maneuvers or upcoming maneuvers. User input may be received while a user is operating a vehicle or otherwise preoccupied and the tracking system avoids complicated and information-dense user interfaces with various predetermined user-interactable elements for event types that may be slow or hazardous to interact with and use to report an event in real time.