Vehicle Agent Selector Using Service Quality History
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Solution Overview
Problem
In vehicles equipped with multiple agent functions, occupants often fail to recognize the most suitable agent for a specific task, leading to inappropriate responses due to lack of awareness about each agent's capabilities.
Innovation Solution
An agent apparatus that utilizes historical quality records to select the most suitable agent function based on speech content, providing voice responses and dynamically or fixedly selecting the agent with the highest service quality for improved response accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple agent functions are installed in a vehicle, then the variety of services provided is increased, but the occupant's ability to recognize and select the most suitable agent is reduced
Solution Approach 1:
The system automatically selects the most suitable agent function based on the occupant's speech content and history information without requiring manual selection. The agent apparatus autonomously determines which agent should handle the request by analyzing the speech content against stored history information, thereby eliminating the burden of agent selection from the occupant while maintaining access to multiple agent functions
Solution Approach 2:
The system uses history information that records the quality of services executed by each agent function portion to improve future selections. By referencing past performance data and feedback about service quality, the system learns and adapts to select the most appropriate agent for given speech contents, resolving the contradiction between having multiple agents and enabling easy selection
2Adaptability or versatility
If the occupant calls an agent without recognizing its feature, then the request may be handled by an inappropriate agent, but the occupant cannot obtain appropriate results
Solution Approach 1:
The system pre-stores history information indicating the quality of services executed by each agent function portion before actual selection is needed. This preliminary preparation of selection criteria based on past performance allows the system to make accurate agent selections when requests come in, ensuring reliability without limiting the variety of agent functions available
Solution Approach 2:
The system references history information containing quality metrics from previous agent executions to determine the most suitable agent for the current speech content. This feedback mechanism ensures that the agent with the best track record for handling similar requests is selected, thereby maintaining high response accuracy while supporting multiple agent functions
Data Source
AI summary
An agent apparatus includes a plurality of agent function portions each providing a service including outputting a voice response from an output in response to an occupant's speech in a vehicle, and a selector referring to history information indicating a history of a quality of a service executed by each of the plurality of agent function portions with respect to a content of the occupant's speech, and selecting an agent function portion making a response to the occupant's speech in the vehicle from among the plurality of agent function portions.