User Profile Projection via Proximity Data for Personalized Services
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Solution Overview
Problem
The modern world's increased options and arm's-length transactions between customers and service providers lead to a lack of personalized experiences, as existing systems rely on probability and statistical analysis to project user profiles, often resulting in inaccuracies and failing to provide personalized interactions, especially in unscheduled or unexpected situations.
Innovation Solution
A system and method utilizing geospatial and proximity data from portable computing devices to proactively project a user's profile to service providers, enabling controlled and personalized interactions by selectively processing, transmitting, and storing personal information, using a multipurpose machine spread over a communications network, with Core Communications managing data transmission and Applications defining extensions for specific use cases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If statistical analysis is used to project user profiles, then service personalization is attempted, but accuracy and reliability of user profile projection deteriorates
Solution Approach 1:
The system performs preliminary actions by proactively projecting user profiles to service providers before actual user-service provider interactions occur. This allows the service provider to have user preference information ready in advance, eliminating the need for statistical guessing during the interaction itself.
Solution Approach 2:
The system introduces an intermediary mechanism that collects user preference data directly from users and transmits it to service providers. This intermediary layer eliminates the need for service providers to independently analyze or guess user preferences through statistical methods.
2Adaptability or versatility
If user profile projection is implemented, then personalized experiences are improved, but loss of user privacy and control increases
Solution Approach 1:
The system inverts the traditional approach by giving users control over what information is shared and with whom, rather than service providers collecting information unilaterally. Users actively manage their profile projections, deciding which service providers receive which information.
Solution Approach 2:
The system implements feedback mechanisms where users can review, modify, and control their profile projections. Users receive feedback about what information is being shared and can adjust their preferences accordingly, maintaining ongoing control over their personal data.
Data Source
AI summary
A system for and a method of providing enhanced services by using machine-based wireless communications of portable computing devices (PCDs) are described. More specifically, a system for and a method of efficiently and effectively projecting, in a controlled fashion, a user's profile to a service provider's PCD in anticipation of an expected interaction between the user and the service provider. The user's profile may comprise content related to identification, current physical location, personal preferences, etc. The system and method may emphasize proactively controlled projection of private/personal information, proactively controlled use of PCD resources, and proactively controlled use of communication network resources.