Application Personalization via Usage-Based User Group Segmentation
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Solution Overview
Problem
Current computer applications have standard user interfaces and features, which can be cumbersome for users as not all features are frequently used, leading to frustration and the need for improved personalization.
Innovation Solution
A computer-implemented method and system that creates multiple user groups based on application usage data, assigning unique sets of features to each group, and a personalization engine that monitors and allocates users to the most fitting group, personalizing the application by providing tailored features and interface settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If standard user interfaces and features are provided to all users, then device complexity is reduced and ease of manufacture is improved, but user experience deteriorates due to unnecessary features and lack of personalization
Solution Approach 1:
The patent segments users into different user groups based on usage patterns and assigns different feature sets to each group. This segmentation allows the application to provide personalized experiences without requiring all features to be available to every user, thereby improving user experience while managing complexity through targeted feature delivery.
Solution Approach 2:
The patent applies local quality by providing different feature sets to different user groups based on their specific needs and usage patterns. Instead of a uniform interface for all users, the system tailors the available features and interface elements to match the characteristics of each user group, enhancing relevance and usability for each segment.
2Adaptability or versatility
If multiple user groups with different feature sets are implemented, then personalization and user experience are improved, but device complexity and system complexity increase
Solution Approach 1:
The patent implements a universal user group assignment system that can handle multiple user groups and feature sets through a single unified mechanism. The system uses a user group assignment module that universally applies to all users, determining appropriate feature sets based on usage patterns without requiring separate customization interfaces for each user, thereby managing complexity through a multi-functional universal system.
Solution Approach 2:
The system employs self-service mechanisms by automatically monitoring user usage patterns and autonomously assigning users to appropriate user groups without requiring manual intervention. The usage pattern analysis module and user group assignment module work automatically to personalize the experience, reducing the complexity burden on users while maintaining adaptability.
3Ease of operation
If all features are made available to all users, then adaptability is maximized, but ease of operation decreases due to navigation complexity and information overload
Solution Approach 1:
The patent extracts and removes unnecessary features from the interface presented to each user by assigning specific feature sets based on user group characteristics. This extraction process eliminates information overload and navigation complexity by only displaying and enabling features that are relevant to each user's needs and usage patterns, while maintaining the underlying adaptability of the system.
Solution Approach 2:
The system applies partial action by providing a subset of features tailored to each user group rather than all available features. This partial feature delivery optimizes ease of operation by focusing on the most relevant functionality for each user type, while the system retains the capacity for adaptability through the ability to assign different feature sets to different user groups based on usage patterns.
Data Source
AI summary
Systems and methods for personalizing a computer application for a user are disclosed. The method including providing multiple user groups, where each user group is assigned a set of computer application features and no two sets of computer application features are identical. The method further includes monitoring computer application usage of the user over a first period of time; based on the monitored usage, allocating a first user group to the user from the multiple user groups, the first user group fitting the user; and personalizing the computer application for the user by providing the set of computer application features assigned to the first user group.