Natural Language Voice Interface for In-Vehicle Navigation
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Solution Overview
Problem
Existing human-to-machine interfaces, particularly in navigation devices, are complex and cumbersome, making it difficult for users to interact intuitively, especially in mobile or vehicular environments, and existing voice user interfaces require significant learning and rely on predefined commands, failing to utilize context and shared knowledge for cooperative, natural language interactions.
Innovation Solution
A conversational, natural language voice user interface that allows users to provide free-form voice inputs for navigation tasks, using dynamic recognition grammars and geographical chunking to interpret and refine destination inputs, and integrates with context and shared knowledge to provide personalized, data-driven directions and advertising models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional human-to-machine interfaces (keyboards, keypads, touch screens) are used in navigation devices, then device functionality can be provided, but user interaction becomes complex and cumbersome, especially in vehicular environments
Solution Approach 1:
The patent replaces mechanical input devices (keyboards, keypads, touch screens) with a voice-based interface that processes natural language speech. This substitution eliminates the need for physical interaction components, allowing users to interact through speech alone, which is particularly advantageous in vehicular environments where hands are occupied.
2Adaptability or versatility
If existing voice user interfaces use predefined commands and keywords, then system control can be achieved, but users must memorize syntaxes and phrases, requiring significant learning
Solution Approach 1:
The patent implements a dynamic voice interface that adapts to user input patterns and learns from interactions. The system evolves from rigid predefined commands to a more flexible natural language processing capability, allowing users to speak more freely without memorizing specific syntaxes while the system adjusts to user preferences and communication styles.
Solution Approach 2:
The voice interface incorporates self-learning capabilities that allow the system to automatically adapt to user behavior patterns without requiring explicit programming or reconfiguration. The system learns from repeated interactions, improving its understanding of user intent and reducing the need for users to memorize commands.
3Ease of operation
If voice recognition systems process free-form natural language, then user interaction becomes more natural, but the system must utilize context and shared knowledge to resolve ambiguities
Solution Approach 1:
The patent introduces context management components that act as intermediaries between the voice recognition system and the natural language processing engine. These components maintain dialogue state, track referential expressions, and manage shared knowledge, enabling the system to resolve ambiguities in free-form speech by considering the conversational context and previously exchanged information.
Data Source
AI summary
A conversational, natural language voice user interface may provide an integrated voice navigation services environment. The voice user interface may enable a user to make natural language requests relating to various navigation services, and further, may interact with the user in a cooperative, conversational dialogue to resolve the requests. Through dynamic awareness of context, available sources of information, domain knowledge, user behavior and preferences, and external systems and devices, among other things, the voice user interface may provide an integrated environment in which the user can speak conversationally, using natural language, to issue queries, commands, or other requests relating to the navigation services provided in the environment.