Pointer Acceleration System Modeling for Precision Control
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Solution Overview
Problem
Current pointer acceleration techniques in computer mice and other interfaces lack systematic design principles, leading to suboptimal performance and user experience due to heuristic designs that do not consider feedback and robustness, resulting in decreased accuracy and subjective satisfaction.
Innovation Solution
A systems perspective is adopted to evaluate and optimize pointer acceleration by integrating human pointing dynamics with a feedback control model, using a vector integration to endpoint (VITE) model and defining performance constraints to determine stable acceleration profiles under varying conditions, allowing for the selection of parameters that enhance pointing device performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If pointer acceleration is increased to expand the range and speed of pointing motions, then the speed and range of pointing is improved, but precision during slow movements deteriorates
Solution Approach 1:
The patent implements dynamic pointer acceleration profiles that adapt to user movement patterns and task requirements. The system transitions from static acceleration settings to dynamic adjustment based on velocity, position, and contextual factors, allowing optimal acceleration behavior across different operating conditions while maintaining precision control
Solution Approach 2:
The patent modifies multiple pointer acceleration parameters including acceleration magnitude, velocity thresholds, and scaling factors. By systematically adjusting these parameters based on empirical studies and user feedback, the system optimizes the balance between speed enhancement and precision maintenance across different pointing scenarios
2Ease of manufacture
If heuristic designs are used for pointer acceleration, then implementation simplicity is improved, but performance and user experience deteriorate
Solution Approach 1:
The patent incorporates feedback mechanisms that monitor user interaction patterns, pointer movement characteristics, and task completion metrics. This feedback drives iterative optimization of acceleration profiles, enabling the system to adapt to individual user preferences and improve performance consistency through data-driven adjustments rather than relying solely on heuristic guesses
Solution Approach 2:
The patent performs preliminary optimization through empirical studies and simulations before final implementation. By pre-characterizing optimal acceleration profiles for different task types and user profiles, the system establishes a solid foundation that reduces the need for extensive heuristic tuning while maintaining high performance standards
3Loss of time
If pointer acceleration is applied without systematic design, then development time is reduced, but accuracy and user satisfaction deteriorate
Solution Approach 1:
The patent segments the pointer acceleration problem into distinct components: basic acceleration profiles, task-specific adjustments, user preference adaptations, and contextual modifications. This segmentation allows systematic development of each component with targeted optimization strategies, improving overall accuracy while managing development time through modular approach
Data Source
AI summary
The present disclosure describes systems, methods, and apparatuses utilizing pointer acceleration system modeling. In one exemplary method, among others, such a method obtains, a closed loop pointer acceleration system model, in which the closed loop pointer acceleration system model is based on (1) a model describing user pointing motions integrated with (2) a model of pointer acceleration motions under operational conditions; obtains values for system parameters that include pointer acceleration profile parameters and operational condition parameters; and determines a set of pointer trajectories for a given acceleration profile having the pointer acceleration profile parameters and operational condition parameters.