Objective-Oriented UX With AI Filtering for Information Overload
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Solution Overview
Problem
Existing personal device technologies lack a means for efficiently managing and integrating resources and information, leading to overwhelming information overload and inefficient user interaction.
Innovation Solution
An AI engine on a client device determines an initial user experience (UX) based on user objectives, chronotype, influencer data, and relationship dynamics, generating a customized UX that integrates with native and application-level operating systems to manage device and application interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If personal device technology advances to provide more resources and information, then user capability is improved, but information overload increases
Solution Approach 1:
The patent extracts and filters relevant information from the vast amount of available data by analyzing user objectives, chronotypes, and relationships. The system selectively presents only the information and resources that align with user goals, removing unnecessary information overload while preserving useful capabilities.
Solution Approach 2:
The system applies local quality by customizing the user experience at the individual level based on unique user characteristics (chronotype, objectives, relationships). Each user receives tailored information and resources rather than generic overwhelming data, making the information quality appropriate to individual needs.
2Adaptability or versatility
If more resources and technologies are integrated into personal devices, then functionality is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing user objectives, determining chronotypes, and curating personalized resource recommendations without requiring manual user configuration. This automation reduces the operational burden on users while maintaining advanced functionality.
Solution Approach 2:
The system continuously monitors user interactions and objective progress, using this feedback to refine and adjust the personalized user experience. This adaptive feedback loop improves ease of operation by learning user preferences and optimizing resource delivery over time.
3Productivity
If customized user experiences are implemented based on user objectives and chronotype, then user engagement is improved, but device complexity increases
Solution Approach 1:
The system achieves universality by implementing a multi-functional AI engine that handles multiple tasks including objective analysis, chronotype determination, resource curation, and experience optimization. This unified approach consolidates complexity into a single system rather than requiring separate specialized components for each function.
Data Source
AI summary
A method of generating an objective-oriented UX may include receiving, via a client device, an input indicating an objective of a user, receiving information about the user associated with a current status of the user relative to the objective, determining, by an AI engine, an initial UX for the client device based on the objective and the current status, generating the initial UX by the AI engine, determining, by the AI engine, an evolution of the UX based on the objective and the current status, and updating the initial UX by the AI engine according to the evolution of the UX. The objective may be related to a personal goal or a lifestyle goal of the user. The AI engine may be trained to determine the initial UX and the evolution of the UX based on the objective and the current status.