Corresponding Chatbots for Group and One-on-One Conversations
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Solution Overview
Problem
Existing chatbots struggle to provide accurate and comprehensive information due to rapid technological advancements and growing complexity, necessitating improved accuracy and reliability in their services.
Innovation Solution
A method and system for providing chatbot services through a server that enables one-on-one and multi-user chatbot interactions, utilizing a first and second chatbot operating in a corresponding relationship, with shared information and command structures, to enhance user convenience and information accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single chatbot serves all users in a chat room, then device complexity is reduced, but user interaction quality and personalization deteriorate
Solution Approach 1:
The system segments chatbot services into two distinct types: first chatbots for one-on-one interactions and second chatbots for group chat room interactions. This segmentation allows each chatbot type to be optimized for its specific interaction mode, improving user interaction quality while maintaining manageable system complexity through clear functional division.
Solution Approach 2:
The server provides universal chatbot services that can operate in multiple modes (one-on-one and group interactions) through a unified architecture. The same server infrastructure supports both first chatbot and second chatbot services, allowing the system to maintain low complexity while delivering personalized and group-oriented interactions through different service configurations.
2Ease of operation
If different chatbots are provided for one-on-one and group interactions, then user interaction quality improves, but device complexity increases
Solution Approach 1:
The server implements a universal chatbot service architecture that handles both one-on-one and group interactions through unified message processing and management mechanisms. This universal design allows the system to provide differentiated chatbot experiences without proportionally increasing system complexity, as the core infrastructure remains shared and standardized.
Solution Approach 2:
The system applies local quality by configuring chatbots with specific characteristics suited to their interaction context: first chatbots are optimized for personalized one-on-one conversations, while second chatbots are configured for group dynamics. This localized optimization improves interaction quality for each scenario while avoiding the need for completely separate systems.
3Reliability
If chatbot services are provided through separate systems, then service specialization improves, but information accessibility and connectivity deteriorate
Solution Approach 1:
The system merges first chatbot services and second chatbot services into a single unified server infrastructure. This consolidation allows information and user contexts to be shared across different chatbot interaction types, improving information accessibility and connectivity while maintaining specialized service functionalities through distinct chatbot configurations and protocols.
Data Source
AI summary
Proposed is a method for providing a chatbot service by a server. The method may include providing a first chatbot service to enable one-on-one chatting with a first chatbot. The method may also include, in response to a request received from a user terminal to add a second chatbot to a chat room where a plurality of user accounts participate, providing a second chatbot service through the chat room to enable chatting with the second chatbot. The first chatbot and second chatbot may operate in a corresponding relationship.