Messaging System Urgency Detection via Distinct Vibration Patterns
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Solution Overview
Problem
Conventional messaging systems are inefficient in categorizing messages based on urgency, often requiring manual prioritization and relying on vibration patterns and tones that fail to distinguish between urgent and non-urgent messages, leading to potential missed important communications, especially in situations like driving or sleeping.
Innovation Solution
A computer-implemented method that analyzes messages in real-time using sentiment mining and user profiles to determine urgency levels, conveying this information through various techniques such as vibration patterns, audio feedback, and text-to-speech, allowing users to prioritize and revert to the most urgent messages automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vibration patterns and tones are used to alert messages, then the device can notify users of incoming messages, but the system cannot distinguish between urgent and non-urgent messages, leading to potential missed important communications
Solution Approach 1:
The patent applies different vibration patterns and audio tones specifically for urgent messages versus regular messages. The vibration mechanism generates distinct patterns (e.g., rapid vibrations vs. slow vibrations) and audio signals that locally differentiate message urgency levels, enabling users to distinguish between critical and non-critical communications through targeted sensory feedback.
Solution Approach 2:
The system changes physical parameters of the alert signal by varying vibration frequency, amplitude, and audio tone based on message urgency. Urgent messages trigger high-frequency, high-amplitude vibrations and distinct audio tones, while non-urgent messages use lower-intensity patterns. This parameter transformation enables the system to convey urgency information through physical signal modulation.
2Productivity
If manual priority setting is required for message categorization, then the system can organize messages, but it increases user workload and time consumption, especially for busy individuals
Solution Approach 1:
The system performs automated message prioritization by analyzing message content, sender identity, and contextual factors without requiring manual user input. The prioritization algorithm autonomously evaluates incoming messages and assigns urgency levels, freeing users from manual categorization tasks while maintaining accurate message organization based on real-time analysis.
Solution Approach 2:
The system performs preliminary analysis of message urgency before the user needs to read or respond. By automatically evaluating message content and sender characteristics in advance, the system pre-categorizes messages into urgent and non-urgent groups, allowing users to immediately focus on critical communications without spending time on manual sorting.
3Quantity of substance
If sequential message listening is used, then users can read all messages, but it becomes very time consuming for busy individuals with numerous messages
Solution Approach 1:
The patent segments the message queue into distinct priority groups (urgent vs. non-urgent) based on automated analysis. This segmentation allows users to first process only the urgent message subset rather than sequentially reviewing all messages, reducing the time required to handle high-volume message streams while ensuring critical communications are addressed promptly.
Solution Approach 2:
The system provides excessive prioritization information by automatically identifying and highlighting all urgent messages, even though users may not need to read every detail immediately. This partial action approach ensures that critical messages are prominently displayed and easily accessible, allowing users to quickly address urgent matters without having to systematically review the entire message queue.
4Ease of operation
If conventional alert tones are used for all messages, then the device can notify users, but the individual cannot distinguish urgent messages from less important ones while driving or sleeping
Solution Approach 1:
The patent employs distinct mechanical vibration patterns through the vibration mechanism to convey message urgency. Urgent messages generate specific vibration characteristics (e.g., rapid, intense vibrations) while non-urgent messages produce different patterns. These tactile distinctions enable users to differentiate message priorities through hand-free vibration feedback, particularly useful when driving or sleeping.
Solution Approach 2:
The system introduces an intermediary alert mechanism that translates message urgency into distinct physical signals before the user perceives them. The vibration mechanism and audio system act as intermediaries that transform digital urgency data into tangible sensory patterns, allowing users to intuitively grasp message priorities through physical feedback rather than requiring visual or auditory attention.
Data Source
AI summary
The present disclosure provides a method and system for enabling conversation between one or more users through one or more messages. The computer-implemented method includes a reception of the one or more messages on a communication device. The communication device is associated with the user of the one or more users. Further, the computer-implemented method includes a determination of a level of urgency. The level of urgency is associated with each of received one or more messages in real time. Furthermore, the computer-implemented method includes conveying of a determined level of urgency. The determined level of urgency is associated with the one or more messages of the user of the one or more users in the real time. Moreover, the computer-implemented method includes reverting to the message of the one or more messages having the highest level of urgency.