Perceived Realism of Crowd Behaviour with Social Forces

This paper investigates the development of an urban crowd simulation for the purposes of psychophysical experimentation. Whilst artificial intelligence (AI) is advancing to produce more concise and interesting crowd behaviours, the number or sophistication of the algorithms implemented within a system does not necessarily guarantee its perceptual realism. Human perception is highly subjective and does not always conform to the reality of the situation. Therefore it is important to consider this aspect when dealing with A implementations within a crowd system aimed at humans. In this research an initial two-alternative forced choice (2AFC) with constant stimuli psychophysical experiment is presented. The purpose of the experiment is to assess whether human participants perceive crowd behaviour with a social forces model to be more realistic. Results from the experiment suggest that participants do consider crowd behaviour with social forces to be more realistic. This research could inform the development of crowd-based systems, especially those that consider viewer perception to be important, such as for example video games and other media.

[1]  Rachel McDonnell,et al.  Smooth movers: perceptually guided human motion simulation , 2007, SCA '07.

[2]  Daniel Thalmann,et al.  Crowd simulation for virtual heritage , 2002 .

[3]  M. Low,et al.  Toward a Generic Framework for Modeling Human Behaviors in Crowd Simulation , 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

[4]  Craig W. Reynolds Steering Behaviors For Autonomous Characters , 1999 .

[5]  Gek Siong Low Understanding Realism in Computer Games through Phenomenology , 2001 .

[6]  Stéphane Donikian,et al.  A synthetic-vision based steering approach for crowd simulation , 2010, SIGGRAPH 2010.

[7]  Bikramjit Banerjee,et al.  Evaluation and Comparison of Multi-agent Based Crowd Simulation Systems , 2010, AGS.

[8]  W. Ehrenstein,et al.  Psychophysical Methods , 1999 .

[9]  Cécile Appert-Rolland,et al.  Realistic following behaviors for crowd simulation , 2012, Comput. Graph. Forum.

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

[11]  John C. Baird,et al.  Fundamentals of scaling and psychophysics , 1978 .

[12]  Christopher E. Peters,et al.  Modeling Groups of Plausible Virtual Pedestrians , 2009, IEEE Computer Graphics and Applications.

[13]  Christopher E. Peters,et al.  Crowds in Context: Evaluating the Perceptual Plausibility of Pedestrian Orientations , 2008, Eurographics.

[14]  Ramin Mehran,et al.  Abnormal crowd behavior detection using social force model , 2009, CVPR.

[15]  Richard M. Leggett,et al.  Real-Time Crowd Simulation: A Review , 2004 .

[16]  Kurt Debattista,et al.  Evaluation of HDR video tone mapping for mobile devices , 2014, Signal Process. Image Commun..

[17]  Rosaldo J. F. Rossetti,et al.  Crowd Simulation Modeling Applied to Emergency and Evacuation Simulations using Multi-Agent Systems , 2013, ArXiv.

[18]  M. Low,et al.  Toward A Generic Framework for Modeling Human-like Behaviors in Crowd Simulation , 2009 .

[19]  Gideon Aschwanden,et al.  Crowd Simulation for Urban Planning , 2008, Proceedings of the 26th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe).

[20]  Fotis Liarokapis,et al.  An initial study to assess the perceived realism of agent crowd behaviour in a virtual city , 2013, 2013 5th International Conference on Games and Virtual Worlds for Serious Applications (VS-GAMES).

[21]  Eike Falk Anderson Playing Smart - Artificial Intelligence in Computer Games , 2003 .

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

[23]  Fotis Liarokapis,et al.  A perceptual study into the behaviour of autonomous agents within a virtual urban environment , 2013, 2013 IEEE 14th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM).

[24]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[25]  Christopher E. Peters,et al.  Perceptual effects of scene context and viewpoint for virtual pedestrian crowds , 2011, TAP.

[26]  Xiao Cui,et al.  A*-based Pathfinding in Modern Computer Games , 2011 .

[27]  Jianhua Gong,et al.  Crowd evacuation simulation for bioterrorism in micro-spatial environments based on virtual geographic environments , 2013 .