Predictive Cursor Positioning via User Preference Database
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Solution Overview
Problem
Existing cursor positioning systems in computer interfaces often place the cursor at inefficient locations, leading to user frustration, time wastage, and increased errors, particularly in browsers and software applications, as they fail to predict the most advantageous positioning based on user behavior.
Innovation Solution
A predictive cursor positioning method that registers user preferences and session data in database tables, using functions like GetCursorPos and SetCursorPos to reposition the cursor to the most frequently used locations, allowing users to configure preferred positions and incorporating a dynamic optimization module for automatic adjustments based on usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the cursor is placed at the first blank or top of the page by prior art systems, then the system structure remains simple, but user time is wasted and user effort increases
Solution Approach 1:
The system performs preliminary actions by registering user cursor position preferences in advance within database tables. When a form is loaded, the cursor is automatically positioned at the most frequent position from previously registered user preferences, eliminating the need for users to manually move the cursor and reducing time loss.
Solution Approach 2:
The system serves itself by automatically learning and adapting to user behavior patterns. The database tables store user preference data, and the system uses this data to autonomously determine optimal cursor positions without requiring external intervention or complex manual configuration, thus reducing user effort while maintaining manageable system complexity.
2Reliability
If the cursor is placed at the first field in the form by prior art systems, then the system operation remains simple, but user satisfaction decreases and errors increase
Solution Approach 1:
The system implements feedback by registering user cursor position choices within database tables and using this feedback to improve future cursor positioning. When users manually move the cursor to preferred positions, these preferences are captured and stored. The system then uses this accumulated feedback to automatically position the cursor at the most frequent position, reducing errors and improving reliability while maintaining simple operation through automatic adaptation.
3Ease of operation
If predictive cursor positioning with user preference registration is implemented, then user effort is reduced and user satisfaction increases, but system complexity increases
Solution Approach 1:
The system performs preliminary registration of user preferences within database tables during initial use. This preliminary action establishes a foundation for automatic cursor positioning, reducing user effort in subsequent interactions. The preference data is stored and reused, allowing the system to intelligently place the cursor at the most frequent position without requiring complex real-time calculations during form submission.
Solution Approach 2:
The system serves itself by automatically adapting to user behavior patterns through the registered preference data. The database tables store user choices, and the system autonomously determines optimal cursor positions based on this data, reducing user effort while maintaining manageable system complexity through self-learning rather than requiring complex external control mechanisms.
Data Source
AI summary
A method of positioning a cursor has the steps of registering the session on database tables, the user making a choice with an input device regarding cursor positioning, registering the choice within the tables, and repositioning the cursor to the most frequent cursor position in the tables. The choice of cursor position may be determined by a GetCursorPos function in a Windows-based computer, and the cursor may be repositioned by a SetCursorPos function.