An emotion evolution based model for collective behavior simulation

Current crowd simulation progresses still fall short of simulating many real-world collective behaviors. Arguably, one of the main reasons is that some essential qualities of human beings such as emotion have not been effectively modeled and incorporated into crowd simulation algorithms. In this paper, we propose a novel computational model for emotion evolution and demonstrate its applications for crowd simulation. Specifically, our approach is designed to tackle three major issues in the emotion evolution process: (i) how to perceive and evaluate emotion when individuals face emergency or external events, (ii) how to evolve the emotion during induction, and (iii) how specific actions of individuals in a crowd are impacted by emotion. Through many experiments, we demonstrate that our method can effectively simulate emergent dynamic collective patterns observed in real-world crowd footages.

[1]  S. S. Stevens.  On the psychophysical law. , 1957, Psychological review.

[2]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1987, SIGGRAPH.

[3]  Norman I. Badler,et al.  How the Ocean Personality Model Affects the Perception of Crowds , 2011, IEEE Computer Graphics and Applications.

[4]  Ming C. Lin,et al.  Aggregate dynamics for dense crowd simulation , 2009, ACM Trans. Graph..

[5]  C. L. M.,et al.  Outlines of Psychology , 1891, Nature.

[6]  Kazuhiko Takahashi,et al.  Adaptive learning method of neural network controller using an immune feedback law , 1999, 1999 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (Cat. No.99TH8399).

[7]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[8]  J. Pettré,et al.  A synthetic-vision based steering approach for crowd simulation , 2010, ACM Trans. Graph..

[9]  Andrew Ortony,et al.  The Cognitive Structure of Emotions , 1988 .

[10]  Benoit Gaudou,et al.  Simulation of the Emotion Dynamics in a Group of Agents in an Evacuation Situation , 2010, PRIMA.

[11]  Dinesh Manocha,et al.  Reciprocal Velocity Obstacles for real-time multi-agent navigation , 2008, 2008 IEEE International Conference on Robotics and Automation.

[12]  K. Scherer,et al.  Appraisal processes in emotion: Theory, methods, research. , 2001 .

[13]  Dinesh Manocha,et al.  Interactive simulation of dynamic crowd behaviors using general adaptation syndrome theory , 2012, I3D '12.

[14]  Daniel Thalmann,et al.  Hierarchical Model for Real Time Simulation of Virtual Human Crowds , 2001, IEEE Trans. Vis. Comput. Graph..

[15]  Zhigang Deng,et al.  Crowd Simulation and Its Applications: Recent Advances , 2014, Journal of Computer Science and Technology.

[16]  Dinesh Manocha,et al.  Simulating heterogeneous crowd behaviors using personality trait theory , 2011, SCA '11.

[17]  José Neves,et al.  Context-Aware Emotion-Based Model for Group Decision Making , 2010, IEEE Intelligent Systems.

[18]  Adrien Treuille,et al.  Continuum crowds , 2006, SIGGRAPH 2006.

[19]  R. Park,et al.  Introduction to the Science of Sociology , 1921 .

[20]  Dinesh Manocha,et al.  ClearPath: highly parallel collision avoidance for multi-agent simulation , 2009, SCA '09.

[21]  Norman I. Badler,et al.  Modeling Crowd and Trained Leader Behavior during Building Evacuation , 2006, IEEE Computer Graphics and Applications.

[22]  Norman I. Badler,et al.  Psychological Parameters for Crowd Simulation: From Audiences to Mobs , 2016, IEEE Transactions on Visualization and Computer Graphics.