ReRun: Enabling Multi-Perspective Analysis of Driving Interaction in VR

被引:1
|
作者
Goedicke, David [1 ]
Haraldsson, Harald [1 ]
Klein, Navit [2 ]
Zhou, Lunshi [3 ]
Parush, Avi [2 ]
Ju, Wendy [1 ]
机构
[1] Cornell Tech, New York, NY 10044 USA
[2] Technion Israel Inst Technol, Haifa, Israel
[3] Cornell Univ, New York, NY USA
基金
美国国家科学基金会;
关键词
driving simulation; HRI; virtual reality; automotive; user studies; interaction studies; multi-perspective; post-analysis;
D O I
10.1145/3568294.3580211
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Rerun is a software system to support post-facto analysis in simulation research. In this submission, we show it working inside a multiplayer driving simulator. Rerun is built in Unity 3D and captures the virtual behavior of participants and their interactions with virtual objects. These recorded behaviors can then be played back from any perspective in the virtual space. This is useful in multi-agent interaction studies because researchers can sift through scenarios carefully from each participant's perspective or even from an outside observer's perspective. This enables a fine-grained understanding of implicit and explicit signaling between participants and other human or AI-controlled agents.
引用
收藏
页码:889 / 890
页数:2
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