Vehicle Dialogue Control with Visual Follow-Up Commands
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Solution Overview
Problem
Dialogue systems face inefficiencies in identifying user intentions and providing services due to the need for additional user utterances, leading to prolonged workflows and delayed service delivery.
Innovation Solution
A dialogue system comprising a speech recognizer, natural language understanding module, and controller that converts user utterances to text, identifies intentions, and generates control signals for primary and additional controls, allowing for immediate display of additional control items and subsequent actions based on user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the dialogue system waits for additional user utterances to identify complete intentions, then it can perform more accurate control, but the workflow becomes longer and service provision is delayed
Solution Approach 1:
The system performs preliminary analysis by identifying both the primary intention and potential additional control items simultaneously from the initial user utterance. The controller proactively generates information about additional control items that may be needed, rather than waiting for users to explicitly state them. This preliminary action reduces the need for multiple back-and-forth utterances while maintaining accurate intention identification.
2Reliability
If the system requests additional information through multiple utterances, then it can achieve complete control, but the ease of operation decreases
Solution Approach 1:
The system provides visual feedback by displaying information about additional control items on a display device. This feedback mechanism informs users what additional information or controls are available without requiring them to initiate multiple sequential utterances. The feedback loop allows users to see what can be controlled and make informed decisions about whether to provide additional input, improving ease of operation while maintaining control completeness.
3Device complexity
If the dialogue system performs only basic intention recognition, then the device complexity is lower, but the adaptability to handle additional control items decreases
Solution Approach 1:
The controller is designed with multi-functionality to handle both primary intention execution and additional control item management within a single component. The same controller that generates control signals for primary intentions also identifies and manages additional control items, eliminating the need for separate dedicated modules. This universal approach increases adaptability while avoiding the complexity of adding separate specialized components.
Data Source
AI summary
An embodiment dialogue system includes a speech recognizer configured to convert an utterance of a user into an utterance text, a natural language understanding module configured to identify an intention of the user based on the utterance text, and a controller configured to generate a first control signal for performing control corresponding to the intention of the user, identify whether an additional control item related to the control corresponding to the intention of the user exists, and in response to the additional control item existing, generate a second control signal for displaying information about the additional control item on a display.