Reveal by viewport movement
Scroll-based ExplorationIGG: A Benchmark for Interactive GUI Grounding under Visibility Constraints
IGG evaluates whether screenshot-only GUI agents can recover a target's visibility through minimal interaction—and then ground the correct element.
Benchmark at a glance
Grounding starts before the click.
The missing middle
Beyond static pixels.
Short of full navigation.
Static GUI grounding assumes the requested element is already visible. Real interfaces violate that assumption: targets may be off-screen, visually ambiguous, hidden by state, occluded, delayed, or moving.
IGG keeps the goal precise—locate and click one target—while adding only the interaction required to make that target observable. Every click is verified online against the target element in the current UI state.
Screenshot-only target revelation
Reveal by state-changing interaction
Reveal over time or by manipulation
Manipulation
Controlled interaction
Three types.
Seven constraints.
Reveal by viewport movement
The target is hidden by the current viewport but remains reachable in the same UI state.
- CT1-1Scroll-based Exploration
Reveal by state change
The target or the cue needed to identify it appears only after an interface interaction.
- CT2-1Visual Disambiguation
- CT2-2Hidden State Activation
- CT2-3Removable Occlusion
Reveal over time or by manipulation
The target requires temporal control, tracking a dynamic state, or spatial manipulation.
- CT3-1Delayed State Activation
- CT3-2Dynamic Target Interaction
- CT3-3Movable Occlusion
Dataset
601 tasks across 16 controlled mockups
Seven sub-types span off-screen targets, interface state changes, delayed and dynamic content, and movable occlusions. Every task is replayed to verify that its target is unique and reachable.
Main results
Visibility recovery is the bottleneck.
Humans solve nearly all tasks, while the strongest open-source baseline reaches only 31.6% GA. Completing the reveal interactions before Qwen3-VL's final click raises its GA from 30.8% to 81.9%.
Completing the required reveal interactions unlocks a +51.1 point gain for Qwen3-VL.
Citation
Build on IGG-Bench
Please cite our EMNLP 2026 paper. The proceedings identifier will be added after publication.
@inproceedings{iggbench2026,
author = {Kim, Kyeongseon and Son, Jiyeon and Oh, Tae-Hyun},
title = {IGG: A Benchmark for Interactive GUI Grounding
under Visibility Constraints},
booktitle = {EMNLP},
year = {2026}
}