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GurunGo: Coupling Personal Computers and Mobile Devices through Mobile Data Types

机译:GurunGo:通过移动数据类型耦合个人计算机和移动设备

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Networked devices like desktop computers and mobile phones make it possible for people to access any of the billions of web pages available on the Internet. However, mobile devices are fundamentally different from desktop PCs in terms of input speeds, screen size, and network speeds, making it harder in practice to find information when on the go. In this paper, we introduce GurunGo, a system that monitors a person's activities on their PC for mobile data types-kinds of data likely to be useful to a person when mobile-and then proactively copies these snippets of data onto his mobile device, thus making it easier to find that information when mobile. Our initial prototype finds and extracts mobile data types from web pages that are browsed on a desktop computer, annotates it with additional relevant information, and copies it to a mobile device in the background. We discuss the design and implementation of GurunGo, as well as some of the tradeoffs and design rationale.
机译:台式计算机和移动电话等联网设备使人们可以访问Internet上数十亿个可用的网页中的任何一个。但是,移动设备在输入速度,屏幕尺寸和网络速度方面与台式PC根本不同,因此在实践中很难在旅途中查找信息。在本文中,我们介绍了GurunGo,该系统可以监视个人PC上针对移动数据类型的活动-可能对个人有用的数据类型,然后将这些数据片段主动复制到其移动设备上,从而移动时更容易找到该信息。我们的初始原型是从台式计算机上浏览的网页中查找和提取移动数据类型的,并用其他相关信息对其进行注释,然后将其复制到后台的移动设备中。我们讨论了GurunGo的设计和实现,以及一些权衡和设计原理。

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