DashAct: A Progressive Diagnostic Benchmark for GUI Agents in Interactive Dashboard Analysis
Interactive dashboards require users to reveal and connect evidence across stateful interactions. Although graphical user interface (GUI) agents could automate this process, existing dashboard benchmarks primarily report final answers or task success. They provide limited insight into whether failures arise from maintaining the analytical process, selecting actions, or grounding visual targets. We introduce DashAct, to our knowledge the first benchmark to diagnose these failures at a fine-grained level within the same dashboard task. DashAct contains 357 human-verified interaction trajectories with milestone dependencies and hierarchical target annotations. Its progressive diagnostic casc...
| Authors | Chuhan Zhang, Qi Xie, Ziyue Wang et al. |
|---|---|
| Primary category | cs.HC |
| Published | 26 September 2026 |
| Last updated at source | 26 September 2026 |
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