User Preference System for Dynamic Environment Modification
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Solution Overview
Problem
Current technologies fail to effectively modify environments based on user preferences and do not utilize user interactions to determine preferences, leading to stagnant user experiences and limited engagement with analog reality.
Innovation Solution
A computer-implemented method and system that receives interaction data from user devices, analyzes it to determine user preferences, and provisions content accordingly, allowing for dynamic modification of experiential environments in real time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current technologies modify environments based on user preferences, then user engagement is improved, but the system complexity increases due to need for real-time data processing and dynamic content provisioning
Solution Approach 1:
The system pre-processes and stores user interaction data and environment configurations in advance. Interaction data from multiple sources is collected and stored in a database, allowing the system to quickly retrieve and process relevant information when modifying environments, thereby reducing real-time processing complexity while maintaining high adaptability.
Solution Approach 2:
A centralized processing system acts as an intermediary between user devices and environment modification operations. This intermediary collects interaction data, processes it to determine user preferences, and coordinates content provisioning across multiple environments, simplifying the overall system architecture while enabling complex adaptive behavior.
2Measurement precision
If the system uses user interactions to determine preferences in real-time, then personalization accuracy is improved, but the processing time and computational resources increase
Solution Approach 1:
The system continuously collects and stores user interaction data from multiple sources in advance. When preference determination is needed, the system queries pre-stored interaction data rather than processing raw interactions in real-time, significantly reducing processing time while maintaining high accuracy through comprehensive data analysis.
Solution Approach 2:
The system creates a simplified representation or copy of user interaction patterns and preferences. Instead of processing every raw interaction in real-time, the system uses pre-processed interaction data models and preference profiles that capture essential user behavior patterns, enabling fast and accurate preference determination.
3Adaptability or versatility
If the system modifies all environments associated with users, then user experience is improved, but the device complexity and data management requirements increase
Solution Approach 1:
The system segments environment modification operations into distinct modules: data collection from multiple sources, interaction data processing, preference determination, and content provisioning. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity while maintaining comprehensive environment coverage.
Solution Approach 2:
The system employs a universal processing architecture that can handle multiple types of environments (physical, digital, virtual, augmented) through a single integrated framework. The same interaction data processing and preference determination mechanisms work across all environment types, reducing data management complexity while expanding environment coverage.
Data Source
AI summary
A computer implemented method and a system for facilitating modifying environments based on user preferences is provided. Accordingly, the method may include receiving, using a communication device, interaction data of interactions of a user in relation to experiential environments of two or more experiential environments from user devices. Further, the computer implemented method may include analyzing, using a processing device, the interaction data. Further, the computer implemented method may include determining, using the processing device, two or more user preferences associated with the user based on the analyzing of the interaction data. Further, the computer implemented method may include provisioning, using the processing device, two or more content corresponding to the two or more experiential environments based on the two or more user preferences. Further, the computer implemented method may include storing, using a storage device, the interaction data and the two or more user preferences.