A Virtual Reality Framework for Human-Virtual Crowd Interaction Studies

被引：0
|
作者：
Nelson, Michael [1 ]
Mousas, Christos [1 ]
机构：
[1] Purdue Univ, Dept Comp Graph Technol, W Lafayette, IN 47907 USA
来源：
2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR 2020) | 2020年
关键词：
virtual crowd; crowd authoring; virtual reality; human-crowd interaction; experimental studies; COORDINATION; WALKING;
D O I：
10.1109/AIVR50618.2020.00043
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we developed a generic framework for authoring virtual crowds with minimal effort. Our intention is to providing to the virtual reality community a framework that allows easy to author virtual crowd scenarios that can be used for human-crowd interaction studies. From previous studies we have conducted, we realized the need of such a framework as it facilitates quicker setup and testing as well as standardizes the measurements and the interaction with virtual crowds. The framework includes assets with realistic human models, and configurations for crowd behavior composition.
引用
收藏
页码：209 / 213
页数：5
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