Vehicle Dialogue System Dynamic Response Time Control

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Solution Overview

Problem

Existing technologies for speech dialogue systems in vehicles do not effectively consider the cognitive load on drivers, leading to potential distractions and inefficiencies, as they control speech operations based on predetermined conditions without accounting for the actual cognitive load caused by dialogue.

Innovation Solution

An information processing apparatus that dynamically controls the response time in speech dialogue with drivers based on vehicle acceleration, adjusting recognition speed parameters and stopping the dialogue when high cognitive loads are detected, with an alarm issued when necessary, to mitigate driver distraction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If speech dialogue is executed with the driver based on predetermined conditions, then the speech operation can be controlled, but the driver's cognitive load is not considered leading to potential distraction

Engineering Contradiction:

Improvedriving safetyVSAvoidcontrol system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system dynamically changes the response time parameter in speech dialogue based on detected driving conditions. When high-risk conditions are detected (e.g., rapid acceleration, deceleration, or steering movements), the system automatically adjusts the response time to be longer, giving the driver more time to process information and reducing cognitive load during critical driving moments.

Inventive Principle:

Principle #35Parameter changes

2Productivity

If the response time in speech dialogue is shortened to improve efficiency, then productivity increases, but driver distraction and cognitive load increase

Engineering Contradiction:

Improvespeech dialogue efficiencyVSAvoiddriver cognitive load

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system makes the response time dynamic rather than fixed. During normal driving conditions, the response time can be shorter to maintain efficiency. However, when the system detects driving conditions that require heightened attention, it automatically extends the response time to reduce cognitive load, creating a dynamic adaptation to current driving demands.

Inventive Principle:

Principle #15Dynamics

3Adaptability or versatility

If speech operation is controlled based on predetermined conditions, then the system can operate, but it cannot adapt to actual cognitive load variations

Engineering Contradiction:

Improvecognitive load adaptationVSAvoidcognitive load measurement

Core Design Contradiction:

Adaptability or versatilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system uses driving condition parameters (acceleration, deceleration, steering angle) as intermediary indicators to indirectly measure cognitive load. Instead of directly measuring the driver's cognitive state, the system detects physical driving parameters that correlate with cognitive demand, using these as proxies to adjust speech dialogue timing appropriately.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11282517B2In-vehicle device, non-transitory computer-readable medium storing program, and control method for the control of a dialogue system based on vehicle acceleration

Publication Date: 2022.03.22 TOYOTA JIDOSHA KK

AI summary

An information processing apparatus includes an acquisition unit configured to acquire acceleration of a vehicle, a controller configured to execute a speech dialogue with a driver of the vehicle, an input unit configured to receive a speech input by the driver, and an output unit configured to execute a speech output to the driver. The controller dynamically controls a response time in the speech dialogue with the driver based on the acceleration of the vehicle.