Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization

• URL: http://arxiv.org/abs/2604.09574v1
• Date: Tue, 24 Feb 2026 04:29:42 GMT
• Title: Turing Test on Screen: A Benchmark for Mobile GUI Agent Humanization
• Abstract summary: We argue that for agents to survive in human-centric ecosystems, they must evolve Humanization capabilities.<n>This work shifts the paradigm from whether an agent can perform a task to how it performs it within a human-centric ecosystem.
• Score: 40.016387553294685
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The rise of autonomous GUI agents has triggered adversarial countermeasures from digital platforms, yet existing research prioritizes utility and robustness over the critical dimension of anti-detection. We argue that for agents to survive in human-centric ecosystems, they must evolve Humanization capabilities. We introduce the ``Turing Test on Screen,'' formally modeling the interaction as a MinMax optimization problem between a detector and an agent aiming to minimize behavioral divergence. We then collect a new high-fidelity dataset of mobile touch dynamics, and conduct our analysis that vanilla LMM-based agents are easily detectable due to unnatural kinematics. Consequently, we establish the Agent Humanization Benchmark (AHB) and detection metrics to quantify the trade-off between imitability and utility. Finally, we propose methods ranging from heuristic noise to data-driven behavioral matching, demonstrating that agents can achieve high imitability theoretically and empirically without sacrificing performance. This work shifts the paradigm from whether an agent can perform a task to how it performs it within a human-centric ecosystem, laying the groundwork for seamless coexistence in adversarial digital environments.

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