The research unveils the complexity of GUI actions in GUI automation systems and proposes a benchmarking framework for video captioning of GUI actions. By introducing the Act2Cap dataset and the GUI Narrator model, the study aims to improve the interpretation of GUI screenshots for automation tasks. The results indicate the challenges involved in GUI action understanding and the effectiveness of the proposed framework in enhancing model performance.