Communication Tool Selection Based on Dialogue Patterns
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Solution Overview
Problem
Existing communication tools often fail to adapt to changing communication needs during a dialogue, leading to inefficiencies as users may select tools based on initial criteria that become unsuitable as the conversation progresses.
Innovation Solution
A system that captures and analyzes dialogue patterns to select a more suitable communication tool for subsequent communication, informing users and generating a summary of the communication to optimize tool usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users select a communication tool based on initial criteria (speed, reliability, availability), then the tool provides suitable functionality for the starting point of communication, but the tool may become unsuitable as the conversation progresses and communication needs change
Solution Approach 1:
The communication system dynamically adapts the communication tool selection based on real-time analysis of dialogue usage patterns. The system monitors how users interact with messages (reading, responding, forwarding) and automatically switches between different communication tools (email, instant messaging, telephone) to match evolving communication needs, transforming a static tool selection into a dynamic, context-aware process
Solution Approach 2:
The system implements feedback mechanisms by analyzing actual usage patterns from the dialogue and using this information to determine the most suitable communication tool for subsequent communication. The analysis of message reading, responding, and forwarding behaviors provides feedback that triggers automatic tool selection, ensuring the communication tool aligns with actual user needs rather than initial assumptions
2Productivity
If the system automatically switches communication tools based on usage patterns, then communication efficiency is improved, but the system complexity increases
Solution Approach 1:
The communication system performs self-service by automatically analyzing usage patterns and selecting appropriate communication tools without requiring manual user intervention. The system monitors dialogue behavior, determines usage patterns, and autonomously switches between communication tools, eliminating the need for users to manually evaluate and select tools while maintaining high communication efficiency
Solution Approach 2:
The communication system integrates multiple functions into a unified platform that can handle various communication scenarios. It combines dialogue capture, usage pattern analysis, communication tool selection, and summary generation capabilities into a single multi-functional system, reducing overall complexity by consolidating what would otherwise be separate systems into one cohesive solution
3Loss of information
If the system analyzes and summarizes communication dialogues, then information retention is improved, but processing time and energy consumption increase
Solution Approach 1:
The system extracts and summarizes only the essential information from lengthy dialogues, separating critical communication content from redundant conversational filler. By identifying and retaining only the most important information (decisions, action items, key discussions) while discarding unnecessary conversational details, the system maintains high information retention while minimizing processing energy consumption
Data Source
AI summary
The invention relates to a method for facilitating communication between users. The method involves capturing a dialogue between the users; analyzing the dialogue to determine a usage pattern; selecting a communication tool, based on the usage pattern, that is suitable for a communication subsequent to the dialogue; informing the plurality of users of the communication tool suitable for the communication subsequent to the dialogue; and generating a summary of the communication subsequent to the dialogue.