Mobile Messaging Format Translation for Receiver Environment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile communication technologies lack effective methods to ensure privacy and security, particularly in public environments where sensitive messages may be inadvertently disclosed due to inappropriate message content or language, and fail to adapt messaging formats to the receiver's environment and device capabilities.
Innovation Solution
A system that determines the receiver's environment and device capabilities to suggest appropriate language changes, use of codewords, or alternative formats like text, images, or sign language, and automatically redirects or encrypts messages to maintain privacy, such as switching from video to text mode or sending sensitive content to a file hosting service for later retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If messages are sent in the sender's preferred language or format, then communication efficiency is improved, but privacy and security are compromised in public environments
Solution Approach 1:
The system dynamically adjusts message format and language based on the receiver's current environment. The messaging system transitions from static format selection to dynamic adaptation, where the same message can be automatically reformatted (e.g., from video to text, from spoken language to written language) depending on whether the receiver is in a private or public setting.
Solution Approach 2:
The system changes message parameters such as language type, format, and delivery method based on environmental context. When public environment is detected, the system modifies message parameters to use less conspicuous formats, thereby maintaining privacy while preserving communication effectiveness.
2Object-affected harmful factors
If messages are adapted to the receiver's environment, then privacy and security are improved, but message delivery complexity increases
Solution Approach 1:
The receiver's device autonomously determines its environmental context and communicates this information back to the sender's device. The system enables self-service by allowing the receiver's device to automatically assess whether it is in a private or public setting and trigger appropriate format translations without requiring manual intervention from the sender.
Solution Approach 2:
The system implements a feedback loop where the receiver's device sends environmental information back to the sender's device, which then adjusts the message format accordingly. This feedback mechanism enables automatic adaptation without requiring complex centralized control, distributing the intelligence across both devices.
3Adaptability or versatility
If format translation is performed at the sender's device, then receiver compatibility is improved, but sender device processing load increases
Solution Approach 1:
Instead of having the sender's device perform all format translation processing, the system inverts the approach by having the receiver's device determine environmental context and request appropriate format adjustments. This shifts some processing responsibilities to the receiver's device, balancing the workload and reducing the burden on the sender's device while maintaining receiver compatibility.
Data Source
AI summary
At a sending electronic device, from a remote location, an indication is received of an environment at a receiving mobile electronic device to which the sending electronic device is to send a message. It is determined how to send the message from the sending electronic device to the receiving mobile electronic device, based on the indication of the environment at the receiving mobile electronic device. The message is sent from the sending electronic device to the receiving mobile electronic device in accordance with the determining step.