Vehicle Voice System Context Filtering

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Solution Overview

Problem

Existing voice-controlled information systems for vehicles lack flexibility and reliability in providing information, as they often require specific commands and do not account for the vehicle's current state or surroundings, leading to potential misunderstandings and context-free responses.

Innovation Solution

A method and apparatus that utilize voice input to determine keywords, which are used to identify events or states associated with specific conditions, allowing for the selection and filtering of relevant information while considering the vehicle's current state and surroundings, enabling efficient and reliable information provision through voice recognition and synthesis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If voice recognition is used to allow unrestricted language input, then ease of operation is improved, but reliability deteriorates due to potential misunderstandings and context-free responses

Engineering Contradiction:
Improveease of operationVSAvoidreliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system stores events and states during a predetermined period of time before they are queried, preparing information in advance. This preliminary action allows the system to quickly retrieve relevant context when a voice input is received, improving both response speed and reliability without compromising ease of operation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system evaluates voice inputs by comparing them against stored events and states, providing feedback on whether the interpreted meaning aligns with the current vehicle context. This feedback mechanism ensures that only contextually appropriate information is provided, maintaining reliability while preserving natural language input capabilities.

Inventive Principle:
Principle #23Feedback

2Reliability

If the system provides comprehensive information about vehicle events and states, then reliability is improved, but device complexity increases due to storing and processing multiple conditions

Engineering Contradiction:
ImprovereliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system extracts only the necessary events and states related to the current voice query from the comprehensive vehicle data, rather than processing all available information. This extraction approach maintains reliability by focusing on relevant data while reducing device complexity by minimizing the amount of data that needs to be stored and processed.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The stored events and states serve multiple functions: they provide context for voice interpretation, enable filtering of relevant information, and support the determination of appropriate responses. This multi-functionality allows the system to maintain comprehensive information without proportionally increasing device complexity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Reliability

If the system filters information based on current vehicle state and surroundings, then reliability is improved, but loss of information increases due to selective filtering

Engineering Contradiction:
ImprovereliabilityVSAvoidloss of information
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system performs partial filtering by selecting only the most relevant information based on current vehicle state and surroundings, rather than filtering out all potentially useful data. This partial action approach maintains reliability by providing contextually appropriate information while minimizing information loss by retaining access to broader event and state data when needed.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10762898B2Method and device for operating a speech-controlled information system for a vehicle
Publication Date: 2020.09.01 BAYERISCHE MOTOREN WERKE AG
  • US10762898B2 patent drawing
  • US10762898B2 patent drawing

AI summary

A voice input by a vehicle user is taken as a basis for determining at least one keyword from a set of prescribed keywords. The at least one keyword is taken as a basis for determining at least one event and/or at least one state from a set of events and/or states of the vehicle that are stored during a prescribed period of time. This involves the respective event and/or the respective state being stored in conjunction with at least one condition occurrence that characterizes a respective condition that needs to be met in order for the event to occur and/or the respective state to exist. In addition, a response is determined from a set of prescribed responses on the basis of the condition occurrence that is associated with the determined event and/or state. Furthermore, a signaling signal is determined on the basis of the ascertained response.