ProBench提升GUI代理评估精度,捕捉操作全过程。
ProBench: Benchmarking GUI Agents with Accurate Process Information
- 引入过程信息追踪机制,自动获取中间步骤数据。
- 覆盖200+任务,发现主流模型在真实场景中表现不足。
- 适合研究智能交互、自动化测试的开发者参考。
随着人工智能与交互技术的深度融合,以图形用户界面(GUI)为载体、连接自然语言目标与真实设备的GUI代理受到广泛关注。现有基准多仅通过最终屏幕状态判断任务完成,但GUI操作包含多个串联步骤,关键信息常未体现在最后几页。尽管少数研究尝试引入中间步骤评估,但准确自动捕获过程信息仍是开放挑战。为此,我们提出ProBench,一个涵盖200多个复杂任务的移动基准,覆盖常见使用场景。在保留传统状态相关任务评估的基础上,新增过程相关任务,并设计专用评估方法。新引入的Process Provider可自动提供精确的过程信息,实现对代理性能的精准评估。对先进GUI代理的评估揭示其在真实场景中的显著局限性,这些缺陷普遍存在于大模型与专用小模型中。详细错误分析进一步暴露若干共性问题,指明未来改进方向。
原文摘要 · Abstract (English)
With the deep integration of artificial intelligence and interactive technology, Graphical User Interface (GUI) Agent, as the carrier connecting goal-oriented natural language and real-world devices, has received widespread attention from the community. Contemporary benchmarks aim to evaluate the comprehensive capabilities of GUI agents in GUI operation tasks, generally determining task completion solely by inspecting the final screen state. However, GUI operation tasks consist of multiple chained steps while not all critical information is presented in the final few pages. Although a few research has begun to incorporate intermediate steps into evaluation, accurately and automatically capturing this process information still remains an open challenge. To address this weakness, we introduce ProBench, a comprehensive mobile benchmark with over 200 challenging GUI tasks covering widely-used scenarios. Remaining the traditional State-related Task evaluation, we extend our dataset to include Process-related Task and design a specialized evaluation method. A newly introduced Process Provider automatically supplies accurate process information, enabling presice assessment of agent's performance. Our evaluation of advanced GUI agents reveals significant limitations for real-world GUI scenarios. These shortcomings are prevalent across diverse models, including both large-scale generalist models and smaller, GUI-specific models. A detailed error analysis further exposes several universal problems, outlining concrete directions for future improvements.
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