In-Cabin Speech Suggestions Using Display-Interaction Detection

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Solution Overview

Problem

Existing dialogue systems in vehicles require users to input speech that is understandable and processable, but often fail to provide appropriate speech suggestions tailored to the user and their current situation, potentially distracting the driver.

Innovation Solution

A method to suggest speech by determining a user as a target based on their interaction with vehicle displays, considering factors like seating location, age, gender, and vehicle knowledge level, and adjusting content and output location to minimize distraction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If speech suggestions are provided to all users regardless of their current activity, then user interaction with the dialogue system is enhanced, but driver distraction increases

Engineering Contradiction:
Improveuser interactionVSAvoiddriver distraction
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The system applies different quality levels of speech suggestion delivery to different users based on their role and current state. The driver receives speech suggestions only when not engaged in display interaction, while passengers receive suggestions continuously. This localized differentiation resolves the contradiction by tailoring the interaction enhancement to specific users without universally increasing driver distraction.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically adjusts speech suggestion delivery based on real-time detection of user display interaction. When a driver is detected interacting with the display, speech suggestions are temporarily suspended for that user. This dynamic adaptation allows the system to enhance user interaction when appropriate while minimizing driver distraction during critical driving phases.

Inventive Principle:
Principle #15Dynamics

2Reliability

If speech suggestions are customized based on user characteristics, then speech suggestion effectiveness is improved, but system complexity increases

Engineering Contradiction:
Improvespeech suggestion effectivenessVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by detecting user characteristics (seating location, age, gender, knowledge level) and display interaction status before delivering speech suggestions. This advance preparation allows the system to customize speech suggestions appropriately without adding complexity during the actual suggestion delivery phase, resolving the contradiction between effectiveness and complexity.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If speech suggestions are provided continuously, then user engagement with the dialogue system is enhanced, but interference with driving tasks increases

Engineering Contradiction:
Improveuser engagementVSAvoidinterference with driving
Core Design Contradiction:
ProductivityVSObject-generated harmful factors

Solution Approach 1:

The system implements periodic checking of user display interaction status to determine appropriate speech suggestion delivery timing. Instead of continuous speech suggestion provision, the system periodically assesses whether the driver is engaged with the display and adjusts speech suggestion delivery accordingly. This periodic action maintains user engagement while preventing interference with driving tasks during critical periods.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS12450026B2Method of suggesting speech and recording medium
Publication Date: 2025.10.21 HYUNDAI MOTOR CO LTD
  • US12450026B2 patent drawing
  • US12450026B2 patent drawing
  • US12450026B2 patent drawing

AI summary

A method of suggesting a speech and a recording medium which may suggest an appropriate speech by determining a speech suggestion target using various information that a vehicle may obtain, includes obtaining a user image where at least one user inside the vehicle is photographed; detecting a user looking at a display inside the vehicle among the at least one user, based on the obtained user image; and determining a target user which is a target of the speech suggestion, based on a result of the detecting.