Cross-Device User Activity History Exchange via Server Key
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Solution Overview
Problem
Existing communication systems across different devices and media platforms operate independently, limiting the exchange of user activity history and providing insufficient user information, which hinders seamless customer support and resource management.
Innovation Solution
A method for collecting, storing, and exchanging user activity history across devices, using a server to generate and transmit keys for accessing relevant user data, allowing for improved customer support and resource allocation by consolidating user profiles and activity information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user activity history is collected and stored across multiple devices, then customer support efficiency is improved, but system complexity and data management burden increase
Solution Approach 1:
The system segments user activity data by device type (first device, second device, third device) and stores each device's activity history separately in the database. This segmentation allows efficient retrieval of device-specific information while maintaining overall system organization, resolving the contradiction between comprehensive data collection and manageable complexity.
Solution Approach 2:
A server acts as an intermediary between multiple devices and the database, managing the collection, storage, and retrieval of user activity histories. The server coordinates data exchange between devices according to predetermined conditions, reducing the complexity burden on individual devices while enabling comprehensive cross-device tracking.
2Measurement precision
If comprehensive user activity information is stored, then user profile accuracy is improved, but data storage requirements and processing time increase
Solution Approach 1:
The system extracts and stores only relevant user activity information from each device based on predetermined conditions. Rather than storing all possible data, the system selectively captures activity histories that meet specific criteria, improving user profile accuracy while minimizing storage requirements and processing overhead.
Solution Approach 2:
The system implements partial data collection by storing user activity histories from multiple devices only when predetermined conditions are met. This selective approach provides sufficient information for accurate user profiling without the burden of storing excessive data from every possible user interaction across all devices.
3Adaptability or versatility
If user activity history is exchanged between devices, then service personalization is improved, but communication overhead and latency increase
Solution Approach 1:
User activity histories are pre-stored in the database from multiple devices before being needed for service personalization. When a user interacts with any device, the system can immediately retrieve pre-collected activity data without real-time communication delays, enabling fast personalized service while minimizing communication overhead.
Solution Approach 2:
The system enables self-service by storing comprehensive user activity histories in advance, allowing the service system to automatically personalize interactions without requiring real-time data exchange between devices. The pre-stored data serves the personalization needs autonomously, reducing communication latency and overhead.
Data Source
AI summary
Devices, systems, and methods for exchanging a history of user activity information are provided. A history of user activity of a target user conducted through a device is collected and stored at a server over a network. A key corresponding to the history of user activity is generated and transmitted to the device. The key is received from a different device. The first history of user activity is retrieved based on the received key and transmitted to the different device.