Autonomous Cellular Phone Service Agents
Solution Overview
Problem
Current cellular phones require explicit user interaction for various services, limiting their functionality and efficiency in providing context-based services beyond traditional telephony and personal information management.
Innovation Solution
The implementation of autonomous service capabilities in cellular phones, which include data collection modules and agents that determine service contexts based on user and environmental data, allowing for the autonomous servicing of calls and messages without user intervention, using a network architecture with a services layer and decision logic to route and manage communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If explicit user interaction is required for services, then service reliability is improved, but service efficiency and productivity deteriorate
Solution Approach 1:
The patent implements autonomous agents that perform service tasks independently without requiring explicit user interaction. These agents monitor device state, interpret user intent from passive data sources, and execute services autonomously, enabling the system to serve itself and eliminating the need for continuous user intervention while maintaining reliability through context-aware decision-making
Solution Approach 2:
The system performs preliminary actions by proactively monitoring device state and user context in advance, preparing and pre-configuring services before they are needed. This allows the autonomous agents to have service readiness information prepared beforehand, reducing wait time and improving efficiency when services are actually required
2Adaptability or versatility
If autonomous service capabilities are added, then device functionality is improved, but device complexity increases
Solution Approach 1:
The patent divides the autonomous service system into separate modular agents, each responsible for specific service domains. This segmentation allows the complex functionality to be broken down into manageable, independent components that can be developed, maintained, and managed separately, reducing the apparent complexity while maintaining versatile functionality
Solution Approach 2:
The patent introduces an intermediary service layer that sits between the user and the complex autonomous agents. This intermediary handles the complexity of agent coordination, context interpretation, and service management, presenting a simplified interface to users while managing the intricate interactions between multiple autonomous components in the background
3Measurement precision
If data collection modules and agents are implemented, then service precision is improved, but loss of information and privacy concerns increase
Solution Approach 1:
The patent implements local quality by collecting and processing data locally on the device rather than centrally. Each autonomous agent operates with access to relevant local context information, enabling precise service delivery while keeping sensitive information on-device. This localized approach minimizes information loss and privacy risks associated with data transmission and centralized storage
Data Source
AI summary
Examples include autonomously authenticating a financial transaction, on behalf of the user, without interacting with the user, via wireless communication link. In various embodiments, the user's cellular phone may be configured to process a message that provides at least partial service context and autonomously authenticate the financial transaction.