Simulating Heterogeneous Crowd BehaviorsUsing Personality Trait Theory

Simulating Heterogeneous Crowd BehaviorsUsing Personality Trait Theory
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使用人格特质理论模拟异质人群行为

DOI:
10.2312/sca/sca11/043-052
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发表时间:
2011
期刊:
Proceedings Computer Animation 1999
影响因子:
--
通讯作者:
Dinesh Manocha
Dinesh Manocha
中科院分区:
--
文献类型:
--
作者:
S. Guy;Sujeong Kim;M. Lin;Dinesh Manocha

文献摘要

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我们提出了一种新的技术,产生异质群体行为的人格特质理论。我们的配方是基于采用用户研究的结果,从人群模拟参数到计算机生成的人群模拟中的代理感知行为的映射。我们还推导出一个线性映射的模拟参数和人格描述符之间的对应的行之有效的艾森克三因素人格模型。此外,我们提出了一种新的二维分解的感知个性的人群的基础上,用户研究结果的统计分析。最后,我们证明了我们的映射和因子分解可以用于在不同的环境中生成异构的人群行为。
We present a new technique to generate heterogeneous crowd behaviors using personality trait theory. Our formulation is based on adopting results of a user study to derive a mapping from crowd simulation parameters to the perceived behaviors of agents in computer-generated crowd simulations. We also derive a linear mapping between simulation parameters and personality descriptors corresponding to the well-established Eysenck Threefactor personality model. Furthermore, we propose a novel two-dimensional factorization of perceived personality in crowds based on a statistical analysis of the user study results. Finally, we demonstrate that our mappings and factorizations can be used to generate heterogeneous crowd behaviors in different settings.