Vehicle Agent Module Dialogue Context Retention
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Solution Overview
Problem
Current vehicle control systems lack the ability to engage in conversation with occupants during travel, provide desired information in response to spoken queries, and resume conversations after interruptions, limiting driving assistance and occupant interaction.
Innovation Solution
A control method utilizing an agent module that generates and stores dialogues, allowing for conversation with occupants, providing information, and resuming context-based discussions after interruptions, by activating the agent module through voice input, maintaining dialogues in a temporary state, and loading them upon recognition of a call command, with adjustable timing based on events and occupant interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the agent module continuously generates and stores dialogues for extended periods, then conversation continuity and context retention are improved, but memory resource consumption increases
Solution Approach 1:
The system performs preliminary actions by generating and storing dialogues in a temporary state for a preset period before permanent storage. This allows the system to prepare dialogue data in advance and manage memory resources efficiently by only permanently storing dialogues that require long-term retention.
Solution Approach 2:
The preset period for temporary storage is dynamically adjustable based on event occurrences. When events occur during dialogue generation, the system can extend or adjust the temporary storage period, allowing flexible memory management that adapts to changing conversation needs and resource availability.
2Adaptability or versatility
If the system monitors occupant gaze and extends preset period based on interaction, then conversation continuity is improved, but system complexity increases
Solution Approach 1:
The system uses camera-based gaze monitoring to obtain feedback about occupant attention and interaction state. This feedback is used to dynamically adjust the preset period for dialogue storage, allowing the system to adapt conversation behavior based on real-time occupant engagement levels without requiring complex decision-making algorithms.
3Reliability
If dialogues are temporarily stored for variable periods based on events, then conversation resumption accuracy is improved, but control complexity increases
Solution Approach 1:
The system performs preliminary actions by storing dialogues in a temporary state with preset periods before permanent storage. This preliminary storage phase allows the system to maintain conversation context with high accuracy for resumption, while the automated timing mechanism prevents the need for complex manual management of dialogue lifecycles.
Data Source
AI summary
Disclosed is a control method. The control method of the present invention is a control method for controlling a vehicle using an agent module which outputs a dialogue-type response to an input speaking of an occupant, the method including: activating the agent module through a predetermined input; generating a first dialogue with the occupant through an activated voice input unit; maintaining the first dialogue in a temporary stored state for a preset period of time; and loading the first dialogue in the temporary stored state when a call command for the first dialogue is recognized, and generating a second dialogue when the call command for the first dialogue is recognized after elapse of the preset period of time.


