Voice Search Constraint Management for Vague Intent Resolution
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Solution Overview
Problem
Voice interfaces struggle with accurately identifying user goals when instructions are vague or unclear, leading to inefficient searches and increased cognitive load for users.
Innovation Solution
Implementing conversational search management techniques that allow users to interact informally with voice-controlled devices, using voice data to determine search constraints and generate search query plans, which are then executed to provide relevant results, reducing the need for precise commands and improving search precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users provide vague or informal instructions to voice-controlled devices, then ease of operation improves, but measurement precision of user goals deteriorates
Solution Approach 1:
The system performs preliminary actions by proactively determining search constraints and generating search query plans before the user can provide complete information. The backend server anticipates user intent by analyzing voice data and formulating structured search queries in advance, reducing the need for users to provide precisely formulated commands.
Solution Approach 2:
The patent introduces an intermediary layer (the backend server with conversational search management) that mediates between the user's informal voice input and the rigid search query execution. This intermediary translates vague user goals into structured search constraints and query plans, bridging the gap between natural language and precise search operations.
2Reliability
If the system performs comprehensive searches to handle vague user instructions, then reliability of goal identification improves, but loss of time increases
Solution Approach 1:
The search process is segmented into distinct components: determining search constraints from voice data, generating multiple search query plans, executing queries, and processing results. This segmentation allows the system to handle complex vague queries systematically without overwhelming processing time, as each segment can be optimized independently.
Solution Approach 2:
The system dynamically adjusts search strategies based on the analyzed voice data and determined constraints. Search query plans are generated and executed adaptively, allowing the system to balance comprehensiveness with efficiency by modifying search parameters and approaches in real-time based on user input patterns.
Data Source
AI summary
Voice data from a current conversation between a user and a voice-controlled user device can be used to determine a search constraint for searching a database. Other search constraints can be determined based at least in part on the current conversation, a previous conversation, and/or a previous action. Properties can be associated with the search constraints. Once the search constraints have been determined, a plurality of search query plans is determined and a first search query plan is executed to query the database.