Context-Aware Chatbot for Centralized Multi-Page Management
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Solution Overview
Problem
Conventional chatbot systems require separate installation on multiple pages, leading to increased management efforts and reduced convenience, as they lack the ability to adapt responses based on the access target, resulting in suboptimal user interactions.
Innovation Solution
A chatbot system that includes a processor configured to obtain input information, search for corresponding response information, and adjust its search or response based on the access target, allowing for centralized management and improved user interaction across multiple pages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a bot is installed on each page separately, then the bot can provide localized responses, but the management complexity and time required for installation and maintenance increase significantly
Solution Approach 1:
The patent implements a single bot that can function across multiple pages by dynamically adapting its behavior based on the accessed page. The bot uses access target information (page URL, title, content) to determine which responses are appropriate, eliminating the need for separate bot installations on each page while maintaining localized response capabilities.
Solution Approach 2:
The bot dynamically changes its search and response behavior based on the access target. By obtaining information about the current page (URL, title, content) and using this context to modify its operation, the bot adapts its functionality in real-time without requiring separate configurations for different pages.
2Device complexity
If a single bot is installed for the entire site, then management is simplified, but the user may need to take more time and effort to reach a desirable answer due to lack of context awareness
Solution Approach 1:
The system performs preliminary analysis of the access target (page URL, title, content) before the user submits their query. This pre-processing allows the bot to understand the context in advance and prepare appropriate responses, reducing the time users need to spend formulating and refining their queries.
Solution Approach 2:
The bot uses feedback from the access target information (what page the user is on, what content is displayed) to adjust its search and response strategy. This contextual feedback enables the bot to provide more relevant answers faster, reducing user query time while maintaining centralized management.
3Device complexity
If the bot does not adapt based on access target, then management is easier, but the convenience and relevance of responses decrease
Solution Approach 1:
The bot changes its operational parameters (search scope, response selection criteria) based on the access target information. By dynamically adjusting these parameters according to the current page context, the bot maintains ease of centralized management while significantly improving response relevance and user convenience.
Data Source
AI summary
An information processing apparatus connected to a user terminal that receives input from a user, includes a memory; and a processor. The processor is configured to execute obtaining input information input into the user terminal; searching for response information corresponding to the input information; responding to the user terminal with a response message based on the response information corresponding to the input information; obtaining an access target to be accessed by the user terminal in order for the user terminal to receive the input of the input information by the user; and changing the search by the searching or a response by the responding based on the access target.