论文标题
FirstPersonscience：量化第一人称射击者任务的心理物理学
FirstPersonScience: Quantifying Psychophysics for First Person Shooter Tasks
论文作者
论文摘要
在电子竞技研究的新兴领域中，对定量结果的需求不断增长，玩家，教练和分析师可以使用，以做出决策并对观众提出有意义的评论。我们提出了FirstPersonScience，这是一种软件应用程序，旨在通过允许科学家设计仔细控制的实验并捕获第一人称射击游戏电子竞技类型的准确结果，旨在满足电子竞技社区的需求。实验设计师可以控制各种参数，包括目标运动，武器配置，3D场景，帧速率和延迟。此外，我们通过仔细的端到端延迟分析来验证此应用程序，并提供一个案例研究，以显示如何使用它来证明一个用户给出的重复任务性能的训练效果。
In the emerging field of esports research, there is an increasing demand for quantitative results that can be used by players, coaches and analysts to make decisions and present meaningful commentary for spectators. We present FirstPersonScience, a software application intended to fill this need in the esports community by allowing scientists to design carefully controlled experiments and capture accurate results in the First Person Shooter esports genre. An experiment designer can control a variety of parameters including target motion, weapon configuration, 3D scene, frame rate, and latency. Furthermore, we validate this application through careful end-to-end latency analysis and provide a case study showing how it can be used to demonstrate the training effect of one user given repeated task performance.
