Gamified virtual reality driving simulator for asserting driving behaviors

A. Ali, Ahmed Elnaggarz, Dirk Reichardtz, Slim Abdennadher
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引用次数: 13

Abstract

Virtual Reality (VR) is a very promising field that allows the users to explore a 3D world and immerse in it. Driving Simulators are one of the most common VR applications that integrate the users within a learning experience. This project focuses on the most important driving behaviors that have to be adapted by any driver, such as switching lanes and giving priority to pedestrians in order to reduce the rate of car accidents. The main objective is to implement a driving simulator where the driver can exercise these behaviors in a form of 4 gamified scenarios with a scoring system and analyzing techniques. Microsoft sidewinder force feedback is used as an input to enhance the multisensory experience. VR tracking system is used as part of the system that analyzes the player's behavior to alter the scene and expose the driver to unexpected situations. The system includes different algorithms as well that measure the performance of each driver and track the improvements that occur to the targeted behaviors. The feedback of the players was gathered using a survey, while the improvement in their performance was measured using observation of each of their behaviors. The survey's results showed that 88% of the test subjects believe that this teaching experience may help correcting the addressed driving behaviors and 84% of them found it amusing. The statistical analysis of the change of the drivers' behaviors shows an average increase of 21% of the correct actions and an average decrease of 17% of the wrong actions.
用于断言驾驶行为的游戏化虚拟现实驾驶模拟器
虚拟现实(VR)是一个非常有前途的领域,它允许用户探索3D世界并沉浸其中。驾驶模拟器是最常见的VR应用程序之一,它将用户整合到学习体验中。这个项目关注的是任何司机都必须适应的最重要的驾驶行为,比如换车道和优先考虑行人,以减少车祸的发生率。主要目标是实现一个驾驶模拟器,其中驾驶员可以在带有评分系统和分析技术的4个游戏化场景中练习这些行为。微软响尾蛇力反馈被用作增强多感官体验的输入。VR跟踪系统作为系统的一部分,用于分析玩家的行为,以改变场景,并将驾驶员暴露在意外情况下。该系统还包括不同的算法,可以衡量每个司机的表现,并跟踪目标行为的改进。我们通过调查收集玩家的反馈,同时通过观察他们的行为来衡量他们表现的改善。调查结果显示,88%的测试对象认为这种教学经验可能有助于纠正所解决的驾驶行为,84%的人认为这很有趣。对驾驶员行为变化的统计分析表明,正确行为平均增加了21%,错误行为平均减少了17%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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