In-Vehicle Voice Routine Creation for Personalized Automation

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Solution Overview

Problem

Conventional digital assistants in vehicles lack the ability to enable non-expert users to generate personalized routines, as their interfaces are complex and require deep knowledge, limiting their effectiveness and causing users to perform manual tasks.

Innovation Solution

A personalized routines management system that processes auditory speech signals to map conditions and actions, generates and stores routines, and monitors vehicle conditions to perform specified actions, allowing users to create and approve custom vehicle routines through natural language processing and sentiment analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional digital assistants use complex menu-based interfaces for programming routines, then the system can provide detailed control over vehicle conditions and actions, but non-expert users cannot effectively generate personalized routines

Engineering Contradiction:
Improveability to generate personalized routinesVSAvoiduser interface complexity
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

Solution Approach 1:

The patent replaces the mechanical menu-navigation system with a voice-based natural language processing system. Users speak their desired routines in natural language, and the system automatically parses and configures the appropriate vehicle conditions and actions, eliminating the need for users to manually navigate complex menus while maintaining full control over routine parameters

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a natural language processing intermediary layer between the user and the routine programming system. This intermediary translates spoken language into structured routine definitions, bridging the gap between simple user input and the complex underlying system requirements without exposing users to interface complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If the digital assistant interface requires deep knowledge of vehicle conditions and actions, then the system can ensure accurate routine configuration, but the system cannot be extended for programming by general users

Engineering Contradiction:
Improveroutine configuration accuracyVSAvoiduser base expansion
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent replaces the knowledge-intensive manual configuration process with automated natural language processing. The system listens to user descriptions of desired routines, automatically identifies relevant vehicle conditions and actions, and configures them accurately without requiring users to possess specialized knowledge of the underlying system architecture

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Ease of operation

If users manually perform tasks instead of using programmed routines, then the system maintains simplicity, but users experience negative interactions and increased manual effort

Engineering Contradiction:
Improvemanual task reductionVSAvoidprogramming capability
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent enables users to serve themselves by programming their own personalized routines through simple voice commands. The system provides the tools and interface for users to create, modify, and manage their own automated routines without requiring assistance from experts or system administrators, empowering users to reduce their manual workload while maintaining system simplicity

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250356852A1In-vehicle generation of routines using voice commands
Publication Date: 2025.11.20 HARMAN INT IND INC
  • US20250356852A1 patent drawing
  • US20250356852A1 patent drawing
  • US20250356852A1 patent drawing

AI summary

Various embodiments disclose a computer-implemented method comprising receiving auditory speech signals generated by a user, mapping a first speech portion in the auditory speech signals to a first condition, where the first condition corresponds to a value associated with operation of a first component of a vehicle, mapping a second speech portion in the auditory speech signals to a first action, where the first action corresponds to a first action performed by a second component of the vehicle, generating a routine that includes the first condition and the first action, comparing the routine to a set of stored rules, upon determining that the routine does not overlap with at least one stored rule, storing the routine as a first stored rule, subsequent to storing the first stored rule, determining that the first condition has been satisfied, and causing the second component of the vehicle to perform the first action.