Context-Aware Inquiry Response Management for Reserved Commodities
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Solution Overview
Problem
Conventional chatbots using AI technology respond with uniform answers based on past questions and answers, failing to consider the current situation of the user, which decreases user convenience, especially in systems managing reserved commodities like conference rooms.
Innovation Solution
An inquiry response management system that includes a management server with a situation acquisition unit to determine the user's situation related to the inquiry and an answer generation unit to provide context-specific answers based on the user's situation and stored commodity information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a conventional chatbot uses AI technology to respond to user inquiries, then the system can automatically handle questions, but the answers are uniform and do not consider the user's current situation, decreasing user convenience
Solution Approach 1:
The system dynamically adjusts responses based on the user's situation by introducing a situation acquisition unit that collects and analyzes user context data. This transforms the static, uniform response mechanism into a dynamic system that adapts answers according to real-time user situations, resolving the contradiction between automation and user convenience
Solution Approach 2:
The system implements feedback mechanisms by acquiring user situation data and using it to refine and personalize responses. The situation acquisition unit continuously gathers information about the user's context, and this feedback loop enables the chatbot to adjust its responses accordingly, maintaining automation while improving user convenience through context-aware answers
2Ease of operation
If the chatbot provides context-specific answers based on user situation, then user convenience is improved, but the system complexity increases due to additional situation acquisition and analysis components
Solution Approach 1:
The system merges the situation acquisition unit with the existing chatbot architecture, integrating context collection and analysis functions into the response generation process. This consolidation approach improves user convenience through personalized answers while minimizing the increase in system complexity by combining rather than adding separate systems
Solution Approach 2:
The situation acquisition unit is designed with multi-functionality, serving both to collect user context data for personalized responses and to maintain compatibility with existing chatbot operations. This universal component handles multiple tasks within a single module, improving user convenience without proportionally increasing system complexity
Data Source
AI summary
An inquiry response management system includes a management server that manages commodities being inquiry response targets. The management server includes a question receiving unit, a situation acquisition unit, an answer generation unit, and an answer transmission unit. The question receiving unit receives a user's question about a commodity via a terminal device. If the question receiving unit receives the user's question, the situation acquisition unit acquires a situation of the user related to the commodity in accordance with the user's question. The answer generation unit generates an answer to the user's question based on the situation of the user acquired by the situation acquisition unit and the commodity information stored in the storage unit. The answer transmission unit transmits the answers generated by the answer generation unit to the terminal device.