Cognitive Communication Assistant Services for Remote Misunderstandings
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Misunderstandings in remote communications, facilitated by various communication platforms, often lead to discord and adverse outcomes, which could be mitigated by providing real-time information on the point of view and facts held by other participants.
Innovation Solution
A communication assistant service (CAS) system that uses pre-trained point of view classifiers to extract relevant data from communication streams, generate point of view records, and store them in a knowledge base for use in real-time communication assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional telecommunication platforms are used for remote interactions, then communication between users is facilitated, but misunderstandings and discord arise due to lack of information on other participants' points of view
Solution Approach 1:
The system pre-processes communication data streams to extract and store point of view records in a knowledge base before actual communication occurs. This preliminary extraction and storage of relevant information eliminates the need for real-time analysis during communication, reducing information loss and improving understanding reliability.
Solution Approach 2:
The communication assistant service acts as an intermediary between users, automatically extracting point of view information from communication streams and providing it back to users. This intermediary process reduces information loss by capturing and preserving contextual data that would otherwise be missed in direct communication.
2Reliability
If real-time point of view information is provided to users, then misunderstandings are minimized and understanding is improved, but system complexity increases due to data processing requirements
Solution Approach 1:
The system performs point of view extraction and stores records in a knowledge base in advance, before actual communication needs this information. This preliminary processing reduces the complexity of real-time systems by pre-computing and organizing data for quick retrieval during communication events.
Solution Approach 2:
The communication assistant service automatically extracts, processes, and provides point of view information without requiring manual intervention. The system self-manages the complex data processing tasks of extracting relevant information from communication streams and making it available to users, reducing the perceived complexity for end users.
3Measurement precision
If communication data streams are continuously monitored and analyzed, then accurate point of view extraction is achieved, but loss of time occurs due to processing delays
Solution Approach 1:
The system extracts and stores point of view records from communication data streams in advance, creating a ready-to-use knowledge base. This preliminary extraction ensures high measurement precision is achieved beforehand, eliminating time delays during actual communication when this information is needed.
Solution Approach 2:
The system continuously monitors and extracts point of view information from communication streams, maintaining an up-to-date knowledge base without interrupting the communication flow. This continuous extraction process ensures both high accuracy in point of view identification and minimal time loss, as the system operates in parallel with communication activities.
Data Source
AI summary
Methods, computer program products, and systems are presented. The methods include, for instance: obtaining communication data streams, extracting data relevant to a point of view of a user, and generating a point of view record in a knowledge base that may be utilized by another user communicating with the user.