In-Vehicle Voice Recognition for Operation Input Device Guidance
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Solution Overview
Problem
Existing voice recognition systems in vehicles fail to inform passengers about the name or use of operation input devices, limiting user interaction and functionality.
Innovation Solution
A voice recognition method that acquires utterance content and input operation signals to estimate a target object within the vehicle and outputs information about the operation input device, such as its name and use, through a voice or display guide message.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a voice recognition system highlights the operation input device location, then the passenger can find where to operate, but the passenger cannot understand the name or use of the device
Solution Approach 1:
The system provides feedback by detecting passenger operations through multiple sensors (voice, touch, gaze) and responding with information about the operated device's name and function. This closed-loop feedback enables the passenger to understand what they are operating and how to use it effectively.
Solution Approach 2:
The voice recognition system acts as an intermediary between the passenger and the operation input device. It translates passenger actions into device information and presents it in an understandable format, bridging the gap between physical operation and functional understanding.
2Loss of information
If the system provides detailed information about operation input devices, then the passenger understands device function, but the system complexity increases
Solution Approach 1:
The voice recognition system is designed to handle multiple functions: detecting voice commands, tracking passenger gaze, sensing touch inputs, and providing contextual information about various device types. This multi-functional approach consolidates what would otherwise require separate systems into a single unified platform.
Solution Approach 2:
The system segments information delivery into discrete, context-relevant units based on detected passenger actions. Rather than providing all possible device information simultaneously, it delivers specific information about the device the passenger is actually interacting with, breaking down complex information into manageable segments.
Data Source
AI summary
A controller acquires utterance content of a passenger in a vehicle; acquires an input operation signal generated by the passenger operating an operation input device of the vehicle; estimates a target constituent object, the target constituent object being a constituent object mentioned in the utterance content among a plurality of constituent objects constituting the vehicle, based on the utterance content and the input operation signal; and outputs information relating to the target constituent object.