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arXiv 2609.30887cs.AI

从点击到跳转:利用应用原生深度链接增强移动GUI智能体

From Tapping to Hopping: Augmenting Mobile GUI Agents with App-Native Deeplinks

Yuchen Sun, Chenglin Cai, Gongjie Zhang, Tianyu Xia, Quyu Kong, Panrong Tong, Zhengwen Zeng, Long Chen, Steven Hoi, Chongyang Zhang, Yue Wang

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中文总结 AI 辅助

本文提出混合交互方法,结合应用原生深度链接与GUI操作,通过静态分析和设备验证构建深度链接目录,提升移动GUI智能体在真实商业应用中的任务成功率。

中文摘要 AI 辅助

移动GUI智能体通过点击和滑动等GUI操作完成任务。这些操作在各类应用中广泛适用,但到达导航界面需要逐屏操作。单个深度链接调用可以替代一系列逐屏的GUI操作序列。因此,我们引入了混合交互方法,使用深度链接进行直接导航,并使用GUI操作处理其他屏幕上的操作及作为回退方案。为实现这一目标,我们通过静态分析发现候选深度链接,在真实设备上验证它们,并描述其观察到的落地屏幕。这一过程创建了一个经过验证且有依据的深度链接目录,将每个有效的深度链接与其落地屏幕的描述配对。利用该目录,我们提出了GUI-Hopper,在真实设备的商业应用中提高了任务成功率,进一步证明了混合交互的益处。

英文摘要

Mobile GUI agents complete tasks using GUI actions like taps and swipes. These actions are broadly applicable across applications, but reaching a navigation interface. A single deeplink call can replace a sequence of screen-by-screen GUI actions. We therefore introduce hybrid interaction, using deeplinks for direct navigation and GUI actions for other on-screen operations and fallback. To enable this, we discover candidate deeplinks through static analysis, validate them on real devices, and describe their observed landing screens. This process creates a verified and grounded deeplink catalog that pairs each working deeplink with a description of its landing screen. Using this catalog, we introduce GUI-Hopper, a improves task success in commercial applications on real devices, further demonstrating the benefits of hybrid interaction.

发表机构

  • Shanghai Jiao Tong University(上海交通大学)
  • Tongyi Lab, Alibaba Group(阿里巴巴集团通义实验室)

机构由 AI 辅助整理,请以论文原文为准。

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