2024/02/08 by Chaoyun Zhang, Zhang, Chaoyun, Liqun Li +21 · 26 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Context-Aware Activity Recognition Systems #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Mobile Agent-Based Network Management
paper · pdf · doi:10.48550/arxiv.2402.07939
openalex publication_date 2024/02/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We introduce UFO, an innovative UI-Focused agent to fulfill user requests tailored to applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a dual-agent framework to meticulously observe and analyze the graphical user interface (GUI) and control information of Windows applications. This enables the agent to seamlessly navigate and operate within individual applications and across them to fulfill user requests, even when spanning multiple applications. The framework incorporates a control interaction module, facilitating action grounding without human intervention and enabling fully automated execution. Consequently, UFO transforms arduous and time-consuming processes into simple tasks achievable solely through natural language commands. We conducted testing of UFO across 9 popular Windows applications, encompassing a variety of scenarios reflective of users' daily usage. The results, derived from both quantitative metrics and real-case studies, underscore the superior effectiveness of UFO in fulfilling user requests. To the best of our knowledge, UFO stands as the first UI agent specifically tailored for task completion within the Windows OS environment. The open-source code for UFO is available on https://github.com/microsoft/UFO.