Digital Assistant Query Syntax Analysis for Natural Response Generation
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Solution Overview
Problem
Conventional digital assistants provide static and unoriginal responses to user queries, lacking discourse variety and natural interaction, and are limited to answering only queries they have been trained for, resulting in unnatural and robotic user experiences.
Innovation Solution
A method that identifies syntactic aspects of audible user queries, such as part of speech, to determine dynamic and natural responses, even if a trained answer is not available, by utilizing the identified syntactic aspects to create answers that mimic human discourse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional digital assistants use pre-trained answers for user queries, then response accuracy is improved, but response variety and naturalness deteriorate
Solution Approach 1:
The system dynamically generates responses based on syntactic analysis of user queries rather than using static pre-trained answers. The response generation adapts to different query structures and contexts, providing both accuracy and variety through dynamic construction of answers from available information.
Solution Approach 2:
The system changes the parameters of response generation by analyzing syntactic aspects of queries and adjusting response construction accordingly. Different syntactic patterns trigger different response generation strategies, enabling both accuracy through structured analysis and variety through parameter-based adaptation.
2Reliability
If conventional digital assistants rely on trained answers, then reliability is improved, but adaptability to new queries deteriorates
Solution Approach 1:
The system performs preliminary syntactic analysis of user queries to understand their structure and intent before generating responses. This preliminary action enables the system to handle new queries reliably by breaking them down into analyzable components and applying appropriate response generation strategies.
Solution Approach 2:
The system introduces syntactic analysis as an intermediary process between receiving user queries and generating responses. This intermediary layer enables the system to adapt to new queries while maintaining reliability through structured analysis and systematic response construction.
3Stability of the object's composition
If conventional digital assistants provide standard responses, then consistency is improved, but natural interaction deteriorates
Solution Approach 1:
The system segments the response generation process into distinct stages: syntactic analysis of the query, identification of key elements, and construction of the response. This segmentation maintains consistency through structured processing while enabling natural interaction through flexible response construction based on query-specific analysis.
Solution Approach 2:
The system uses feedback from syntactic analysis of user queries to adjust response generation. By analyzing the structure and content of incoming queries, the system provides feedback that guides response construction, maintaining consistency through systematic processing while achieving natural interaction through query-adapted responses.
Data Source
AI summary
One embodiment provides a method, including: receiving, at an audio input device associated with an information handling device, an audible user query; identifying, using a processor, syntactic aspects of the audible user query; determining, based at least in part on the syntactic aspects and regardless of whether a trained answer to the audible user query is available, an answer responsive to the audible user query; and providing, using an output device associated with the information handling device, the answer. Other aspects are described and claimed.