Intelligent Assistant Server Call Management
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Solution Overview
Problem
Current telecommunication systems lack advanced intelligent assistant services that can dynamically manage and customize communications between User Equipment (UE) devices, such as smartphones, by intercepting and rerouting calls based on user-defined rules, and providing AI-driven interactions for improved call handling and user experience.
Innovation Solution
The implementation of an intelligent assistant (IA) server within the wireless network that registers UE devices for IA services, allowing users to set rules for call management, including call rerouting, text message handling, and AI-driven interactions, utilizing IVR, text-to-speech, and AI servers to interpret user inputs and apply rules for managing incoming calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an intelligent assistant server is implemented to dynamically manage and customize communications, then user control and efficiency in managing communications is enhanced, but device complexity and system infrastructure requirements increase
Solution Approach 1:
An intelligent assistant server is introduced as an intermediary component between users and the telecommunication network. This server intercepts incoming calls, evaluates them against user-defined rules, and automatically performs actions such as terminating calls, relaying messages, or adding users to calls. The intermediary handles the complexity of call management logic centrally, simplifying the user interface while maintaining enhanced control capabilities.
2Adaptability or versatility
If call interception and rerouting capabilities are added to the telecommunication network, then intelligent call management is enabled, but network complexity and processing overhead increase
Solution Approach 1:
The call management functionality is segmented into distinct modular components: an intelligent assistant server for rule-based decision making, an IVR server for voice interaction handling, and a text-to-speech server for message relay. Each component performs a specific function, allowing the system to achieve versatile call management capabilities while keeping individual component complexity manageable.
3Productivity
If AI-driven interactions and text-to-speech services are integrated, then automated call handling is improved, but energy consumption and processing requirements increase
Solution Approach 1:
The system applies AI-driven interactions and text-to-speech services selectively based on user-defined rules and call characteristics. Not all incoming calls receive the same level of automated handling; instead, the intelligent assistant server evaluates each call and applies appropriate processing only when necessary, reducing overall energy consumption while maintaining high productivity for calls that require automated handling.
Data Source
AI summary
Artificial intelligence-based, intelligent agent (IA) services may include an IA server assisting users of a wireless network in various communication scenarios (e.g., calls, texts, chats, etc.). A user may specify rules for managing communications directed to a User Equipment (UE) of the user. Examples of such rules may include intercepting an incoming call to the user, managing the call based on whether the user is available, determining a reason for an incoming call and notifying the user about the reason, inviting the user to join the call, adding other users to the call, recording portions of the call, providing requested information, taking notes, scheduling meetings, and providing other assistant-type services, etc. The IA services may also include monitoring, interpreting, and responding to information that is sent to, or by, the user, during a communication, in addition to implementing Machine Learning procedures for self-improvement.