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Mobile augmented reality based context-aware library management system

机译：基于移动增强现实的上下文感知图书馆管理系统

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摘要

Mobile augmented reality has gained popularity in recent years due to the technological advances of smartphones and other mobile devices. One particular area in which mobile augmented reality is being used is library management. However, current mobile augmented reality solutions in this domain are lacking in context-awareness. It has been suggested in the literature that agent programming may be suitable at overcoming this problem, but little research has been conducted using modern mobile augmented reality applications with agents. This paper aims to bridge this gap through the development of an agent-based, mobile augmented reality prototype, titled Libagent. Libagent was subjected to five experiments to determine its suitability, efficiency, and accuracy for library management. The results of these experiments indicate that agent-based mobile augmented reality is a promising tool for context-aware library management.
机译：近年来，由于智能手机和其他移动设备的技术进步，移动增强现实已变得越来越流行。使用移动增强现实的一个特定领域是图书馆管理。但是，该领域中当前的移动增强现实解决方案缺乏上下文意识。在文献中已经提出，代理编程可能适合克服这个问题，但是很少使用带有代理的现代移动增强现实应用来进行研究。本文旨在通过开发基于代理的移动增强现实原型Libagent来弥合这种差距。对Libagent进行了五个实验，以确定其对图书馆管理的适用性，效率和准确性。这些实验的结果表明，基于代理的移动增强现实是用于上下文感知库管理的有前途的工具。

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