Interactive Terminal Voice Topic Segmentation for Visitor Intent
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Solution Overview
Problem
Conventional methods for interacting with visitors require significant human and material resources, leading to low efficiency and high workload in understanding and responding to visitor intentions.
Innovation Solution
An interactive method and terminal that utilize voice data processing, including word segmentation and topic generation models, to determine visitor topics and select appropriate interactive content based on appearing probabilities, reducing the need for human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual interaction methods are used to understand and respond to visitor intentions, then staff members can directly communicate with visitors, but significant human and material resources are consumed leading to low efficiency and high workload
Solution Approach 1:
The system enables automated visitor interaction through voice recognition and natural language processing technologies. The interactive terminal independently analyzes visitor voice data, performs word segmentation, determines topics using topic generation models, and selects appropriate responses without requiring manual staff intervention, thus achieving self-service automation
Solution Approach 2:
The patent replaces the mechanical manual interaction system with an automated electronic system. Voice recognition technology converts visitor speech into text, which is then processed through computational algorithms including word segmentation and topic modeling, ultimately generating automated responses that substitute for human staff actions
2Productivity
If automated voice recognition and topic generation models are used to determine visitor intentions, then interaction efficiency is improved, but the system complexity increases due to multiple processing steps
Solution Approach 1:
The system segments the complex task of understanding visitor intentions into distinct processing stages: voice data acquisition, word segmentation to extract feature words, topic determination using topic generation models, and response selection based on appearing probabilities. This segmentation makes the complex system more manageable and modular
Solution Approach 2:
The patent introduces intermediate processing components including word segmentation modules that extract feature words from recognized text, and topic generation models that bridge the gap between raw text and meaningful visitor intentions. These intermediaries facilitate the transformation of unstructured voice data into structured actionable insights
Data Source
AI summary
An interactive method is provided for an interactive terminal. The method includes obtaining visitor voice data of a visitor; and performing word segmentation on a text obtained by recognizing the visitor voice data, to obtain a feature word set. The method also include determining, according to a topic generation model and the feature word set, a determined topic to which the text belongs; and separately obtaining appearing probabilities corresponding to feature words in the feature word set when the feature words belong to the determined topic. The method further includes selecting a feature word from the feature words of the feature word set according to the appearing probabilities corresponding to the feature words; and obtaining and outputting visitor interactive content corresponding to the selected feature word.