AI RESEARCH

Understanding Human Actions through the Lens of Executable Models

arXiv CS.AI

ArXi:2604.18064v1 Announce Type: new Human-centred systems require an understanding of human actions in the physical world. Temporally extended sequences of actions are intentional and structured, yet existing methods for recognising what actions are performed often do not attempt to capture their structure, particularly how the actions are executed. This, however, is crucial for assessing the quality of the action's execution and its differences from other actions. To capture the internal mechanics of actions, we.