Dynamic Input Mechanism Recommendation via Usage Frequency Weighting
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Solution Overview
Problem
Modern computing devices support multiple user input mechanisms, but existing technologies lack an efficient method to dynamically recommend the most suitable input mechanism based on user behavior, leading to suboptimal user interaction experiences.
Innovation Solution
An input recommendation technique that monitors and weights user input mechanisms by frequency of use, recommending the primary mechanism to applications, allowing for dynamic customization of the user interface and interaction model to optimize user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple user input mechanisms are supported, then user flexibility and choice are improved, but determining the optimal input mechanism becomes complex and inefficient
Solution Approach 1:
The system monitors user input mechanism usage and provides feedback by weighting each mechanism based on frequency of use. This feedback loop enables the system to automatically determine the most suitable input mechanism without complex manual selection processes.
Solution Approach 2:
The system serves itself by automatically tracking and analyzing user input patterns, then making autonomous decisions about which input mechanism to recommend. This eliminates the need for complex user-side decision-making while maintaining adaptability.
2Productivity
If user input mechanisms are monitored and weighted dynamically, then user interaction performance is improved, but system processing overhead increases
Solution Approach 1:
The system applies partial monitoring by focusing only on the essential task of tracking input mechanism usage frequency, rather than comprehensively analyzing all user interactions. This selective approach maintains performance improvement while minimizing processing overhead.
3Ease of operation
If the primary user input mechanism is recommended to applications, then user experience customization is improved, but application-compatibility requirements increase
Solution Approach 1:
The recommendation system is designed with universal functionality that works across different applications without requiring application-specific modifications. The system provides a standardized interface that any application can utilize, maintaining ease of operation while managing compatibility requirements.
Data Source
AI summary
A primary user input mechanism is recommended to an application that executes on a computing device which supports a plurality of different user input mechanisms that users of the computing device can utilize to input information into the computing device. The utilization of each of the user input mechanisms is monitored on an ongoing basis, where this monitoring includes weighting each of the user input mechanisms based on its frequency of use. Upon receiving an indication to launch the application on the computing device, a one of the user input mechanisms currently having the highest weight is recommended to the application as being the primary user input mechanism. The weighting of each of the user input mechanisms is also provided to the application.


