Application Privacy Filtering for Data Projector Sharing
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Solution Overview
Problem
Existing data projection systems fail to differentiate between public and private information during application sharing, causing private notification messages to be inadvertently displayed to an audience, which is undesirable in presentation settings.
Innovation Solution
A system that identifies and marks applications on a device to determine their permission status for issuing messages in 'all share public mode', hiding private data content from public view by creating lists of permitted and non-permitted applications, and modifying or removing personal information from messages before display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all applications are permitted to issue messages in all share public mode, then complete information is displayed to the audience, but private notification messages are inadvertently revealed
Solution Approach 1:
The system segments applications into two distinct categories: permitted applications and non-permitted applications. This segmentation is implemented through separate listings that classify applications based on their permission status to issue messages in all-share public mode. By dividing the application set into these two groups, the system enables selective message display that prevents private notification leakage while maintaining information completeness from authorized sources.
2Object-affected harmful factors
If private notification messages are hidden during application sharing, then privacy is protected, but information completeness is reduced
Solution Approach 1:
The system applies local quality by differentiating the display behavior of different applications based on their permission status. Permitted applications maintain their full message display capability in all-share public mode, while non-permitted applications have their messages filtered or hidden. This localized application of permission rules ensures that privacy protection is applied selectively only where needed, rather than uniformly across all applications, thus preserving information completeness from authorized sources while protecting privacy where required.
3Object-affected harmful factors
If manual control is used to select which applications can share messages, then privacy control is precise, but system complexity increases
Solution Approach 1:
The system implements self-service by automatically managing the classification and permission status of applications. Rather than requiring manual configuration for each application, the system autonomously maintains the permitted and non-permitted application listings, detecting and adapting to application behavior and permission requirements. This self-managing approach reduces system complexity while maintaining precise privacy control, as the system handles the administrative overhead automatically without requiring complex manual intervention.
Data Source
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AI summary
Privacy protection of data content is provided by identifying one or more applications running on a suitably configured device, and marking each of the applications to indicate that a respective one of the applications is permitted or not permitted to issue messages in an all share public mode. The data content of such messages is hidden from public view in response to the application not having the requisite permission to issue messages in the all share public mode. A computer program and mobile terminal device for providing privacy protection of data content are also presented.