Dynamic Icon Reordering Based on Usage Signals
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Solution Overview
Problem
Mobile computing devices face inefficiencies in organizing graphical representations, such as application icons, leading to increased user navigation effort and memory usage, as existing methods rely on manual reordering or default configurations that do not account for user interaction patterns.
Innovation Solution
The system identifies usage signals from user interactions to determine a modified configuration for graphical representations, optimizing their placement based on frequency of use, interaction time, and navigation rate, and automatically reorganizes them to reduce navigational input and reclaim memory by removing rarely used applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual reordering or default configurations are used for organizing graphical representations, then the initial setup is simple, but user navigation effort increases and memory usage is not optimized
Solution Approach 1:
The system automatically monitors user interaction patterns with applications and reorganizes graphical representations based on detected usage signals, eliminating the need for manual user reordering while optimizing navigation efficiency
Solution Approach 2:
The system continuously monitors usage signals (frequency of use, interaction time, navigation rate) and uses this feedback to dynamically adjust the configuration of graphical representations, creating a closed-loop optimization system that adapts to user behavior
2Adaptability or versatility
If more applications are kept available on the device, then application availability increases, but memory usage increases
Solution Approach 1:
The system identifies rarely used applications based on usage signals and removes them from the device, freeing up memory space while maintaining availability of frequently used applications, thus optimizing the balance between storage capacity and application accessibility
3Productivity
If graphical representations are kept in default configurations, then initial setup is quick, but navigation efficiency decreases
Solution Approach 1:
The system transitions from static default configurations to dynamic arrangements that automatically adapt based on real-time usage signals, allowing graphical representations to be repositioned according to actual user behavior patterns for optimized navigation efficiency
Solution Approach 2:
The system proactively reorganizes graphical representations before users need to access applications by continuously monitoring usage patterns and predicting which applications will be needed, placing them in optimal positions in advance
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying a current configuration of graphical representations displayed in a user interface presented by a computing device, each of the graphical representations being associated with a respective computer-executable application, determining at least one usage signal corresponding to each of the graphical representations, the usage signal reflecting user interaction with the respective associated computer-executable application, determining one or more success metrics indicative of an efficiency of the current configuration of graphical representations, generating, using an optimization technique, a modified configuration of graphical representations based on the usage signals and the one or more success metrics, and presenting, in the user interface, at least a portion of the modified configuration of graphical representations.