The Agent Humanization Benchmark (AHB) evaluates whether mobile GUI agents can mimic human touch dynamics to avoid detection. Researchers found that standard LMM-based agents are easily spotted due to unnatural kinematics. This framework treats agent-detector interaction as a MinMax optimization problem. Developers must now refine movement patterns to bypass platform countermeasures.