Mobile Message NLP Action Suggestion System
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Solution Overview
Problem
Current mobile devices lack the ability to automatically interpret and act upon messages, such as SMS, MMS, and emails, to suggest appropriate actions or applications based on natural language processing, limiting their functionality in managing tasks and reminders.
Innovation Solution
A method that performs natural language processing on incoming messages to suggest actions or applications, which can be triggered automatically or with user acceptance, allowing for integration with virtual assistants and third-party servers to facilitate task management and user interaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If natural language processing is performed on incoming messages to suggest actions or applications, then the device's ability to automatically interpret and act upon messages is improved, but the device complexity increases
Solution Approach 1:
The patent introduces an intermediary NLP processing layer that sits between message reception and user interaction. This intermediary component automatically interprets message content, extracts actionable information, and generates suggestions without requiring complex user-side processing, thus resolving the contradiction between automation and complexity.
Solution Approach 2:
The system enables self-service by allowing the mobile device to automatically interpret its own incoming messages and generate action suggestions without external assistance. The device autonomously processes messages, identifies tasks, and presents relevant actions to the user, reducing the need for manual intervention while managing complexity through automated workflows.
2Ease of operation
If automatic triggering of action suggestions is implemented upon message receipt, then user convenience is improved, but the risk of inappropriate or unwanted automatic actions increases
Solution Approach 1:
The patent implements feedback mechanisms where the system monitors user responses to suggested actions and uses this information to refine future suggestions. By analyzing whether users accept, modify, or reject suggestions, the system learns from feedback to improve the accuracy and appropriateness of automatic action suggestions over time, balancing convenience with reliability.
Solution Approach 2:
Instead of fully automating all message responses, the system takes a partial action approach by generating suggestions that require user confirmation or selection. This allows the system to provide convenient automated assistance while maintaining user control, preventing inappropriate automatic actions by requiring final user approval before execution.
3Adaptability or versatility
If integration with third-party servers and virtual assistants is implemented, then the versatility of the system is improved, but the device complexity and number of connections increase
Solution Approach 1:
The patent implements a universal integration architecture that allows the message processing system to work with multiple third-party services and virtual assistants through standardized interfaces. This multi-functional approach enables the system to adapt to different services without requiring separate specialized components for each, thus improving versatility while managing integration complexity through unified protocols and common processing logic.
Data Source
AI summary
A method in accordance with the present disclosure may include receiving a message at a mobile computing device and performing natural language processing (NLP) based interpretation of the message. Embodiments may further include suggesting at least one of an action and an application configured to perform the action, the suggestion based upon, at least in part, the NLP-based interpretation of the message.