Mobile Terminal AI Telephone Conversation Automation
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Solution Overview
Problem
Current mobile terminals lack the capability to automatically perform repetitive or annoying telephone conversations, which can save user time and enhance convenience.
Innovation Solution
A mobile terminal equipped with artificial intelligence that can autonomously perform telephone conversations, utilizing a learning data unit to analyze user inputs and contextual information to execute tasks such as making calls, responding to queries, and exchanging information, thereby reducing user involvement in repetitive tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a mobile terminal performs manual telephone conversations, then the user can handle complex or important calls, but the user spends excessive time on repetitive and annoying conversations
Solution Approach 1:
The mobile terminal performs telephone conversations autonomously using AI technology. The controller automatically responds to incoming calls, exchanges information with the other party, and completes conversation tasks without requiring user intervention. This self-service capability resolves the contradiction by automating repetitive conversations while preserving user control for important calls.
Solution Approach 2:
The patent introduces an AI-based intermediary system that mediates between the user and the telephone conversation. The learning data unit and controller act as intermediaries, processing conversation tasks automatically while the user retains oversight. This intermediary layer enables automation of routine conversations without completely removing user involvement when needed.
2Extent of automation
If the mobile terminal automates telephone conversations using AI, then repetitive tasks are handled automatically, but the device complexity increases
Solution Approach 1:
The patent integrates multiple functions into existing mobile terminal components. The controller performs both traditional mobile phone functions and AI-based conversation automation. The learning data unit serves multiple purposes including storing conversation data, learning user patterns, and generating responses. This multi-functionality approach enables automation without proportionally increasing device complexity.
Solution Approach 2:
The patent merges the AI conversation automation functionality with the existing mobile terminal architecture. The learning data unit is integrated with the controller, and both work together with existing communication modules. This merging approach consolidates components rather than adding separate dedicated systems, thereby reducing overall device complexity while achieving automation.
Data Source
Figure 1A
Figure 1B~1C
Figure 2~3
AI summary
A first mobile terminal includes a microphone to receive a voice, a mobile communication module to make communication with a second mobile terminal, and a learning data unit to receive a command for entering an artificial intelligence (AI) telephone conversation mode, to obtain a user intent of the first mobile terminal, based on the received command, and to automatically perform a first task with the second mobile terminal according to the obtained user intent.