Drag and Drop Destination Emphasis via Path Vectors
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Solution Overview
Problem
Users face difficulties in performing drag and drop operations due to the requirement of precise mouse movements and accuracy, especially for those with diminished visual or physical abilities, and the complexity of graphical user interfaces, leading to frustration and accidental drops.
Innovation Solution
A method that emphasizes potential drop destinations by generating path vectors of varying strength between the selected entity and monitored drop destinations, allowing users to anticipate and choose the desired drop destination with fewer mouse movements and reduced precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional drag and drop operations are used, then users can move graphical display elements between destinations, but users require significant mouse movement and high accuracy which leads to frustration and accidental drops
Solution Approach 1:
The system performs preliminary action by monitoring and recording previous drop destinations before the current drag and drop operation. It then uses this historical information to pre-identify and emphasize likely drop destinations, allowing users to complete the operation with less precision and fewer mouse movements.
Solution Approach 2:
The system implements feedback by continuously monitoring actual drop destinations from previous operations and using this information to adjust the highlighting of potential drop destinations in subsequent operations. This creates a learning loop that adapts to user behavior patterns over time.
2Reliability
If drop destinations are not emphasized, then the interface remains simple, but users have difficulty identifying the correct destination leading to accidental drops
Solution Approach 1:
The system applies color changes by highlighting likely drop destinations with visual emphasis (such as different colors, brightness levels, or graphical indicators) based on historical drop patterns. This makes the correct destination stand out from other potential destinations, improving selection accuracy without fundamentally changing the interface structure.
Solution Approach 2:
The system introduces an intermediary layer of information (visual highlighting or indicators) that mediates between the user's drag operation and the drop destination selection. This intermediary guide helps users identify the correct destination without requiring them to manually search through all possibilities.
3Productivity
If path vectors are generated and displayed, then users can anticipate drop destinations with fewer mouse movements, but the display becomes more complex with additional graphical elements
Solution Approach 1:
The system segments the display by generating and displaying path vectors only for the most likely drop destinations rather than all possible destinations. This selective segmentation provides guidance where needed while avoiding unnecessary graphical elements throughout the entire interface.
Solution Approach 2:
The system adds another dimension to the interface by introducing visual path indicators that connect the dragged element to likely drop destinations. This dimensional addition (visual guidance lines) helps users understand the relationship between elements without requiring them to mentally calculate or search for correct destinations.
Data Source
AI summary
A method that emphasizes at least one drop destination for a selected entity based upon monitored drop destinations. Drop destinations may be emphasized by generating a plurality of path vectors between the selected entity and at least a portion of the plurality of drop destinations. Generally, by emphasizing drop destinations, the potential drop destinations for the selected entity may be anticipated and emphasized to the user, which may increase the likelihood that the user will drop onto the desired drop destination. Moreover, a user may choose one of the drop destinations by dropping the selected entity along the path vector associated with the desired drop destination. As such, drag and drop operations may be successfully completed with fewer mouse movements and/or less precision, often resulting in fewer accidental drops.