A Computer Use Agent（CUA） handles drag-and-drop actions by simulating the same pointer movements a human would perform while holding the mouse button down. First, the CUA identifies the draggable element using its vision model and confirms the element’s position. It then simulates a mouse-down event at the correct coordinates, moves the cursor smoothly or in small increments along a defined path, and releases the mouse button at the destination location. This approach ensures compatibility with applications that depend on precise drag behavior, such as file managers, design tools, or spreadsheet interfaces.
Smoothness and timing are critical for drag-and-drop reliability. Some applications require the pointer to move slowly enough to trigger hover states or auto-scrolling regions. The CUA adapts its movement speed based on feedback from the GUI, such as detecting when a drop target highlights or when the scroll area becomes active. Developers can configure movement curves—linear, stepped, or eased—to mimic natural human movement and avoid triggering unwanted gesture detections. Screen-capture checks during the drag motion help verify that the UI responds correctly and that the pointer remains aligned with the draggable object.
To further improve accuracy, developers may store embeddings of known drag sources and drop targets in a vector database such as Milvus or Zilliz Cloud. This helps the CUA recognize patterns like “file icon,” “upload box,” “layer panel,” or “timeline track,” even when their visual designs vary across applications. When the agent detects ambiguity—such as multiple potential drop zones—it can retrieve similar past drag-and-drop scenarios and prioritize the target with the highest semantic similarity. This vector-assisted reasoning helps CUAs execute complex drag workflows more consistently across diverse software environments.