Ubiquitous computing in the real world: lessons learnt from large scale RFID deployments
Ubiquitous computing in the real world: lessons learnt from large scale RFID deployments
复制标题
现实世界中的普适计算：大规模 RFID 部署的经验教训
DOI：
10.1007/s00779-006-0116-1
复制
发表时间：
2007
影响因子：
--
通讯作者：
George Roussos
中科院分区：
文献类型：
--
作者：
S. Konomi;George Roussos
无处不在的计算技术正在慢慢地进入商业信息系统，与研究示范者相比，商业信息系统的规模往往要大得多。此外，现有基础设施的准备或升级时间长且成本高，对员工和用户进行新工作方式的培训，有控制地引入新功能、特性和服务以管理风险，由于可能的现实情况种类繁多而导致的意外行为，系统开发的渐进方法以更好地确定成功的方面，将系统的经济性视为核心要求，以及开放或封闭系统的选择都是大多超出当前普适计算研究范围的问题，但在工业部署中起着关键作用。在本文中，我们回顾了两个案例研究的全面运作的射频识别系统：牡蛎卡票务系统在英国的伦敦地铁，在日本东京的三越百货公司部署的零售应用。我们从技术、用户交互、业务和组织背景等方面对每种情况进行了研究，并对每种情况进行了一些观察。最后，我们得出普遍的经验教训，在真实的世界中的普适计算，并确定未来的普适计算研究的挑战。
Ubiquitous computing technologies are slowly finding their way into commercial information systems, which are often constructed at considerably larger scale compared to what is possible in research demonstrators. Furthermore, lengthy and costly preparation or upgrade of existing infrastructures, training of employees and users in the new ways of working, controlled introduction of new functionality, features and services to manage risk, unexpected behaviors due to the wider variety of possible real-world situations, incremental approach to systems development so as to better identify successful aspects, regard for the economics of systems as a core requirement, and selection of open or closed systems are all issues that are mostly outside the scope of current ubiquitous computing research but play a critical role in industrial deployments. In this paper we review two case studies of fully operational Radio Frequency Identification-based systems: the Oyster card ticketing system used at the London Underground in the UK, and retail applications deployed at the Mitsukoshi departmental stores in Tokyo, Japan. We examine each case in terms of technologies, user interactions, and their business and organizational context and make several observations in each case. We conclude by drawing general lessons related to ubiquitous computing in the real world and identify challenges for future ubiquitous computing research.