In-Vehicle User State Detection for Proactive Comfort Response
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle agent systems lack improvements in user experience, particularly in actively responding to user states such as stress or drowsiness without requiring user input.
Innovation Solution
An information processing device that estimates user states based on voice, image, and biometric data, and executes predetermined processes in the vehicle to mitigate adverse effects, such as fragrance spraying, music reproduction, or seat vibration, when certain conditions are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the agent system passively waits for user instructions, then the system complexity is low, but the user experience is insufficient
Solution Approach 1:
The system performs preliminary actions by proactively estimating user state (stress, drowsiness) before the user explicitly requests assistance. The control unit continuously monitors user information and executes predetermined processes in advance based on estimated state, rather than waiting for user instructions. This transforms the passive agent system into an active one that anticipates user needs.
2Ease of operation
If the system proactively monitors and responds to user state, then the user experience is improved, but the measurement and detection difficulty increases
Solution Approach 1:
The system segments user state detection into multiple independent channels: voice data analysis, image data analysis, and biometric data analysis. Each channel independently estimates specific aspects of user state (stress, drowsiness), and the control unit integrates these segmented estimates to form a comprehensive user state assessment. This segmentation makes the complex detection task more manageable and accurate.
3Measurement precision
If the system uses multiple data types (voice, image, biometric) for state estimation, then the state estimation accuracy is improved, but the device complexity increases
Solution Approach 1:
The control unit serves multiple functions: it estimates user state from diverse data types (voice, image, biometric), determines whether the estimated state satisfies predetermined conditions, and executes appropriate predetermined processes. This multi-functional design consolidates complex operations into a single control unit, managing device complexity while maintaining high measurement precision through multi-source data integration.
Data Source
AI summary
An information processing device including a control unit, wherein the control unit estimates a state of a user based on user information including at least one of voice data, image data, or biometric data of a user of the vehicle, and when it is determined that the estimated state satisfies a predetermined condition, executes a predetermined process selected in accordance with the estimated state in the vehicle.