Abstract: | Group behavior forecasting is an emergent research and application field in social computing. Most of the existing group behavior
forecasting methods have heavily relied on structured data which is usually hard to obtain. To ease the heavy reliance on
structured data, in this paper, we propose a computational approach based on the recognition of multiple plans/intentions
underlying group behavior.We further conduct human experiment to empirically evaluate the effectiveness of our proposed approach. |