Smart Card Preference Detection for Offline Advertising
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Solution Overview
Problem
Current systems face challenges in collecting and managing consumer data effectively, especially outside digital environments, and in providing personalized services that respect user privacy and preferences, as existing methods are not efficient in bridging online and offline behaviors and do not adequately utilize proximity-based interactions for tailored advertising and transactions.
Innovation Solution
The system employs a network of devices, including smart cards and IoT devices, to collect, manage, and distribute data securely, enabling personalized services by detecting user preferences and providing customized content through proximity-based interactions, using technologies like NFC, BLE, and EMV contacts for communication and payment, while ensuring user control over data release and authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data collection methods are expanded to include offline environments, then the quantity and diversity of consumer data is improved, but the difficulty of detecting and measuring user behavior increases
Solution Approach 1:
The patent introduces intermediary devices (smartphones, wearables, IoT devices) that act as mediators between consumers and merchants. These devices automatically collect and transmit consumer data, preferences, and behavior information without requiring direct observation or manual input from consumers, thereby expanding data collection capabilities while reducing detection difficulty
Solution Approach 2:
The system enables self-service data collection where consumers' own devices automatically gather and manage their preference data. The consumer's device serves itself to collect behavioral information, location data, and preference profiles, eliminating the need for external observation systems and reducing the complexity of data acquisition
2Loss of information
If personalized advertising is implemented based on collected data, then the relevance of advertising is improved, but the loss of consumer privacy increases
Solution Approach 1:
The patent applies local quality by processing and analyzing consumer data locally on the consumer's own device rather than centralizing all data collection. Preference profiles are created and maintained locally, allowing personalized advertising to be generated from local data processing while minimizing the transmission and storage of sensitive personal information on external servers
Solution Approach 2:
The system performs preliminary actions by having consumers proactively share specific preference data with merchants before advertising or transactions occur. Consumers pre-configure their preference profiles and share relevant information voluntarily, allowing personalized advertising to be based on pre-approved data rather than extensive post-hoc data collection, thereby reducing privacy intrusion
3Adaptability or versatility
If multiple communication technologies are integrated for seamless service, then the adaptability of the system is improved, but the device complexity increases
Solution Approach 1:
The patent implements universality by designing a multi-functional communication architecture where a single system can operate across multiple communication paradigms. The system can function as proximity-based (NFC), short-range wireless (BLE), or internet-based communication depending on the context, allowing the same infrastructure to serve diverse advertising and transaction scenarios without requiring separate specialized systems for each mode
Data Source
AI summary
The present invention relates to a person's personal preferences. These personal preferences are detected or determining according to several different systems and methods and based on these preferences personal services are provided to the person. Certain embodiments of the invention utilize a “so-called” smart card, including a card with EMV contacts, for determining those preferences and/or for providing services.