Communication Session Transition Across Services
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Solution Overview
Problem
Conversational interfaces, such as chat, are inefficient for tasks requiring the transition of communication sessions across different services or applications, leading to loss of information and context.
Innovation Solution
Systems and methods that enable the transition of communication sessions across services by processing user communications to identify requests for service changes, storing sessions in a repository, and initiating the requested service while maintaining context and content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users transition communication sessions across services using conversational interfaces, then information loss and context loss occur, but if users stay within a single service, then they cannot leverage features of multiple services
Solution Approach 1:
The system segments the communication session into transferable data elements that can be extracted from one service and injected into another. The session data is divided into identifiable components (context, content, state) that can be independently transmitted across service boundaries, enabling users to leverage multiple services while preserving session integrity.
Solution Approach 2:
The system introduces an intermediary mechanism that captures and preserves communication session data between services. This intermediary layer acts as a buffer that stores session context and retrieves it when needed, preventing information loss during transitions while enabling users to access features across multiple services.
2Ease of operation
If conversational interfaces are used for task execution, then natural interaction is enabled, but efficiency decreases for tasks requiring service transitions
Solution Approach 1:
The system dynamically adapts the interaction mode based on the task requirements. For simple tasks, it maintains natural conversational interaction. For tasks requiring service transitions, it dynamically switches to a more efficient mode that leverages the preserved session context, thereby maintaining ease of operation while improving productivity.
Solution Approach 2:
The system performs preliminary actions by pre-capturing and storing communication session context before service transitions occur. This preliminary preservation of data eliminates the need for repetitive information input during service switching, thereby improving task execution efficiency while maintaining natural interaction capabilities.
3Reliability
If communication sessions are maintained across service transitions, then context is preserved, but system complexity increases
Solution Approach 1:
The system creates simplified copies of the communication session data that can be transmitted across services. Instead of managing complex real-time session states, it captures essential session information as transferable data copies, thereby preserving context reliably while minimizing system complexity through data serialization and deserialization mechanisms.
Data Source
AI summary
Systems and methods are disclosed for transitioning communication sessions across services. In one implementation, a first communication is received from a user via a first service. The first communication is associated with a communication session. The first communication is processed to identify a request with respect to a second service. The second service is initiated in response to the request.