Augmented Personalized Information System for Dynamic Spaces
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Solution Overview
Problem
Current technologies fail to effectively provide personalized information to users based on their profiles and geolocation, leading to a lack of relevant and tailored experiences in real-time, especially in augmented and dynamic environments.
Innovation Solution
A computerized system that collects information from various sources, including social networks, sensors, and geolocation sources, processes it to detect relevant information, and transmits specific augmented personalized information to user devices, allowing users to receive tailored content within their personalized static, dynamic, or virtual spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If information is collected from multiple sources and processed to provide personalized content, then information relevance and personalization are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system segments information processing by creating separate modules for collecting information from different sources (social networks, sensors, geolocation), detecting relevant information based on user profiles, and processing content through structuring processes. This modular segmentation allows the system to handle complex multi-source data while maintaining manageable system architecture through distinct functional components.
Solution Approach 2:
The system introduces intermediary components including user profiles that mediate between raw collected information and personalized output, and processing modules that act as intermediaries between multiple information sources and the final personalized content delivery. These intermediaries filter, structure, and personalize information while managing the complexity of integrating diverse data sources.
2Ease of operation
If real-time personalized information is provided based on user profiles and geolocation, then user experience quality is improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing user profiles containing user characteristics, preferences, and historical data before real-time information requests occur. These pre-built profiles serve as ready-made filters and personalization templates, allowing the system to quickly process real-time requests by matching current data against pre-analyzed user characteristics rather than creating personalization from scratch each time.
Solution Approach 2:
The system dynamically changes parameters such as information filtering criteria, content structuring approaches, and personalization weights based on user profiles and contextual factors like geolocation and time. By adjusting these parameters according to pre-analyzed user characteristics, the system optimizes processing efficiency for different user scenarios while maintaining high personalization quality.
Data Source
AI summary
A non-transitory computer readable medium for displaying augmented personalized information to a user, the non-transitory computer readable medium stores instructions for: collecting collected information from a plurality of information sources out of social networks, sensors, factual static sources, geolocation sources, real time sources, user provided information; detecting, out of the collected information, relevant information that is relevant to a user based upon a profile of the user, a relevant point of time and a relevant location; processing the relevant information through a structuring content process to provide specific augmented personalized information that is compatible to an augmented personalized dynamic space of the user; and transmitting to a device of the user the specific augmented personalized information, the specific augmented personalized information causes to the device of the user to display to the user the specific augmented personalized information within the augmented personalized dynamic space of the user.