Evaluation of Justina: A Virtual Patient with PTSD
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Agent-based analysis of patterns in crowd behaviour involving contagion of mental states
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Emotional contagion with virtual characters
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
A study of emotional contagion with virtual characters
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Autonomous Agents and Multi-Agent Systems
Curing robot autism: a challenge
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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In social psychology, emotional contagion describes the widely observed phenomenon of one person's emotions being influenced by surrounding people's emotions. While the overall effect is agreed upon, the underlying mechanism of the spread of emotions has seen little quantification and application to computational agents despite extensive evidence of its impacts in everyday life. In this paper, we examine computational models of emotional contagion by implementing two models ([2] and [8]) that draw from two separate lines of contagion research: thermodynamics-based and epidemiological-based. We first perform sensitivity tests on each model in an evacuation simulation, ESCAPES, showing both models to be reasonably robust to parameter variations with certain exceptions. We then compare their ability to reproduce a real crowd panic scene in simulation, showing that the thermodynamics-style model ([2]) produces superior results due to the ill-suited contagion mechanism at the core of epidemiological models. We also identify that a graduated effect of fear and proximity-based contagion effects are key to producing the superior results. We then reproduce the methodology on a second video, showing that the same results hold, implying generality of the conclusions reached in the first scene.