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This research introduces GUI-Hopper, a system that enhances mobile AI agents by integrating app-native deeplinks to bypass standard tap-and-swipe navigation sequences. By constructing a verified catalog of functional links through static analysis and real-device validation, the approach significantly improves task success rates in commercial applications. The work represents a concrete advancement in agent efficiency, demonstrating how hybrid interaction strategies can optimize GUI automation workflows.
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From Tapping to Hopping: Augmenting Mobile GUI Agents with App-Native Deeplinks

arXiv2 min read

arXiv:2609.30887v1 Announce Type: new Abstract: 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.

Abstract: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.

Artificial Intelligence (cs.AI)

arXiv:2609.30887 [cs.AI]

(or arXiv:2609.30887v1 [cs.AI] for this version)

https://doi.org/10.48550/arXiv.2609.30887 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 214 words

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