Driving simulation environment for modeling of human behavior

M. Guajardo
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Abstract

The goal of our research is to build a realistic model of human behavior that predicts the distribution of cognitive and bodily resources when performing complex tasks such as driving a car. Our driving environment is full of varied time-critical inputs that humans are familiar with handling. It provides a set of components and functions that facilitate the staging of experiments and the monitoring of advanced human behaviors. Hence, we can test humans and human behavioral models in a realistic VR setting with roads, traffic lights, STOP signs, pedestrians and other vehicles to study everyday behaviors in real time. Copyright is held by author/owner(s) Tapia'07, October 14-17, 2007, Lake Buena Vista, Florida, USA ACM 978-1-59593-866-4/07/0010
驾驶模拟环境对人类行为的建模
我们的研究目标是建立一个现实的人类行为模型,预测在执行复杂任务(如开车)时认知和身体资源的分布。我们的驾驶环境充满了各种各样的时间关键输入,人类对处理这些输入很熟悉。它提供了一组组件和功能,以促进实验的分期和高级人类行为的监测。因此,我们可以在现实的VR环境中与道路、交通灯、STOP标志、行人和其他车辆一起测试人类和人类行为模型,实时研究日常行为。版权由作者/所有者Tapia'07持有,2007年10月14日至17日,美国佛罗里达州Lake Buena Vista, ACM 978-1-59593-866-4/07/0010
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