Gauri Jagatap

The semantic action graph is presented, a lightweight domain schema that represents a sports match as performer, action, recipient, moment, and state nodes connected by role, temporal, and outcome edges, providing early evidence that one small, human-readable schema can ground agent generation and support human interpretation at the same time.

Audience reactions to video content can be predicted with surprising accuracy using a novel dataset and a finetuned multi-agent approach, but significant gaps still exist in capturing collective emotional responses.