User-Specific Setting Apparatus for Multi-User Vehicle Privacy
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Solution Overview
Problem
Conventional devices fail to effectively change settings for multiple users sharing a car, as they do not adequately reflect user-specific personal settings while maintaining privacy and convenience.
Innovation Solution
A setting apparatus with a CPU and memory that identifies and authenticates users, using first and second information to configure device settings, where first information is publicly accessible and second information is restricted, ensuring settings are applied at appropriate times to enhance user convenience and protect privacy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If user-specific personal settings are reflected automatically, then user convenience is improved, but privacy protection deteriorates
Solution Approach 1:
The patent segments user information into two distinct categories: first information (publicly accessible settings like seat position) and second information (restricted personal settings like navigation history). This segmentation allows the system to automatically apply first information for convenience while requiring authentication for second information to protect privacy, thus resolving the contradiction between user convenience and privacy protection.
2Adaptability or versatility
If all user information is stored and applied, then adaptability to multiple users is improved, but device complexity increases
Solution Approach 1:
The system segments user information management into two simplified layers: a first information storage area for publicly accessible settings and a second information storage area for restricted personal settings. This segmentation maintains multi-user adaptability while reducing the complexity of information management by providing clear separation of data types and access control mechanisms.
Solution Approach 2:
Different quality levels of information management are applied locally to different information types. First information is stored and applied without authentication for general adaptability, while second information requires authentication for privacy-protected adaptability. This local differentiation simplifies the overall system by applying appropriate complexity only where needed.
3Productivity
If restricted information is applied without authentication, then productivity is improved, but reliability deteriorates
Solution Approach 1:
The patent segments information into first information (public) and second information (restricted), applying different access control policies to each. First information can be applied immediately for productivity, while second information requires authentication to ensure reliability and privacy security, thus resolving the contradiction between speed and security.
Solution Approach 2:
Different quality control measures are applied locally: first information is applied without authentication for speed, while second information requires authentication for security. This local differentiation allows the system to maximize productivity for public settings while maintaining reliability for private settings.
Data Source
AI summary
A setting apparatus includes: a CPU and a memory connected to the CPU. The memory is configured to store information regarding each of a plurality of users individually using a single space. The CPU is configured to perform: identifying a user to use the space; authenticating the user identified in the identifying; setting devices provided in the space based on the information stored in the memory. The information stored in the memory includes: first information; and second information given stricter restriction than the first information. The CPU is configured to perform: the setting including performing a predetermined setting of the devices provided in the space based on the first information of the user identified in the identifying.