Voice Input System for Vehicle Message Routing
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Solution Overview
Problem
Drivers face challenges in multitasking while driving, such as noting vehicle issues or sending messages, as they must focus on the road and cannot easily record voice notes or send messages without diverting attention.
Innovation Solution
A voice input system that analyzes voice inputs to distinguish between human-intended and machine-intended content, allowing for automatic message sending to identified recipients in audio form, keeping the driver focused on driving by streamlining interactions with both humans and vehicle systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the driver uses traditional methods (writing notes, recording voice messages) to note vehicle issues or send messages, then the driver can communicate with others or note issues, but the driver must divert attention from the road and concentrate on the task at hand
Solution Approach 1:
The patent replaces manual writing and traditional voice recording methods with an automated voice processing system. The system uses speech recognition technology to capture, process, and transmit messages automatically, eliminating the need for the driver to manually write notes or operate recording devices while maintaining focus on driving.
Solution Approach 2:
The voice processing system performs the communication function autonomously. Once the driver provides the voice input, the system automatically analyzes the content, identifies recipients, formats messages, and transmits them without requiring driver intervention for each step, thereby freeing the driver's attention for the road.
2Loss of information
If the driver records voice messages or sends messages manually, then the driver can maintain records of vehicle issues and communications, but the driver cannot focus entirely on driving tasks
Solution Approach 1:
The system replaces manual note-taking and voice recording operations with automated speech-to-text processing and automatic message transmission. This substitution eliminates the time the driver would otherwise spend manually creating and managing communication records, while the system maintains complete and accurate records of all messages and vehicle issues discussed.
3Adaptability or versatility
If the voice input system processes both human-intended and machine-intended content, then the system can handle diverse communication needs, but the system complexity increases
Solution Approach 1:
The voice processing system segments the incoming voice input into distinct components: human-intended content and machine-intended content. By dividing the processing task into separate analysis stages, the system can identify and handle each content type appropriately using specialized processing logic, making the overall complex task manageable and systematic.
Solution Approach 2:
The voice processing system is designed as a universal interface that can handle multiple types of communication needs through a single unified system. It processes both human-to-human messages and machine commands through the same voice input mechanism, eliminating the need for separate systems for different communication purposes and actually reducing overall system complexity despite its versatility.
Data Source
AI summary
The processing of voice inputs includes receiving a voice input from a user. The received voice input can be analyzed to determine whether the voice input includes at least one of human-intended content or machine-intended content. Responsive to determining that the voice input includes human-intended content, a human recipient for the human-intended content can be identified within the voice input, and a message can be sent to the identified human recipient. The message can include the human-intended content in an audio form. Responsive to determining that the voice input includes machine-intended content, a machine recipient for the machine-intended content can be identified within the voice input, and a message including the machine-intended content can be sent to the identified machine recipient to implement the machine-intended content.