Application for the Detection of Dangerous Driving and an Associated Gamification Framework

Keshav Bahadoor, Patrick Hosein
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引用次数: 18

Abstract

In today's highly technology-based world, wireless devices such as smartphones, are being utilized for solving daily problems and in making our daily lives more efficient. Although smartphones are sometimes to be blamed for vehicular accidents, they can also be used for helping to avoid accidents. In this paper we consider one such possible solution (called Project Drive), in which a smartphone based application is used to bridge the gap between negative driving detection and user motivation for safer driving behavior. Project Drive leverages a hosted web service to support the Android based application. Weather data is integrated with a modular negative driving detection component to create a point based system where positive driving is rewarded. Project Drive employs user motivation and retention strategies, such as gamification and social networking, as a means to promote safe driving. Users gain badges based on positive driving events that are seen by their contacts via the in-application social feed. Points of interest, including positive driving event areas, are visible via an interactive map. A small scale prototype was developed and used for testing of the associated algorithms as well as the social aspects of the framework.
侦测危险驾驶的应用及相关的游戏化架构
在当今以高科技为基础的世界里,诸如智能手机之类的无线设备正被用来解决日常问题,使我们的日常生活更加高效。虽然智能手机有时被指责为交通事故的罪魁祸首,但它们也可以用来帮助避免事故。在本文中,我们考虑了一种可能的解决方案(称为Project Drive),其中使用基于智能手机的应用程序来弥合负面驾驶检测和用户更安全驾驶行为动机之间的差距。Project Drive利用托管web服务来支持基于Android的应用程序。天气数据与一个模块化的消极驾驶检测组件集成在一起,创建一个基于点的系统,在这个系统中,积极驾驶得到奖励。Project Drive采用用户动机和留存策略,如游戏化和社交网络,作为促进安全驾驶的手段。用户通过应用内社交动态看到的积极驱动事件获得徽章。兴趣点,包括积极的驾驶活动区域,通过交互式地图可见。开发了一个小型原型,并用于测试相关算法以及框架的社会方面。
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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