事件报告移动应用程序的设计与开发

Jan Peter Bulusan, Bradd Melton Cabaluna, Daniel John Macaraig, Abner Cruz
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引用次数: 1

摘要

简介:通过短信系统和电话报告实际事件是乏味的,容易出错和误解。开发一个移动应用程序,可以用来传输事件类型、位置和图像等细节,可以在紧急情况下提供帮助。方法:在本研究中遵循的软件开发方法是原型模型,在原型模型中,软件的初始版本被显示给最终用户,以便根据他们的需要进行改进。移动应用程序的目标用户是来自菲律宾卡维特斯朗的38名基督复临派摩托车手,他们接受过急救训练。与最终用户进行访谈,并对相关系统进行基准测试,以达到预期结果。结果:最终用户对开发的应用程序的反馈可以概括为准确性高、不容易出错、易于使用。通过现代智能手机上的全球定位系统,报告特定事件位置的精确度可以达到5米以内。报表接收方可以在地图中查看位置。最小化文本输入和利用控件元素不仅可以改善报告时间,还可以减少犯错误的机会。此外,该应用程序还可以提供事故现场附近应急设施的地图位置和联系信息。报告的信息也集中存储以供参考,以改进响应过程。讨论:一旦从该系统中收集到大量数据,就可以对其进行数据挖掘,以预测可能的热点、高峰时间和其他有关事件发生的信息。为了在更大的地理范围内实施该系统,支持者建议使用人工智能,它可以自动识别并向最近的医疗机构寻求帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Development of an Incident Reporting Mobile Application
Introduction: Reporting actual incidents through short messaging systems and telephone calls are tedious, prone to errors and misinterpretations. Developing a mobile application that can be utilized to transmit incident type, location, and images among other details can provide assistance in emergency situations.  Methods: The software development method followed in this study was the prototyping model, where initial versions of the software were shown to the end users for it to be refined to their needs. The target users of the mobile application are a group of 38 Adventist motorcycle riders from Silang, Cavite, Philippines who are trained to be first responders. Interviews with end users and benchmarking on related systems were conducted to meet results.  Results: The end users’ feedback on the developed application can be summarized as having high accuracy, less prone to errors, and ease-of-use. Through Global Positioning Systems available on modern smart phones, reporting a specific incident location can be as accurate as within five meters. The report receiver can view the location in a map. Minimizing text entry and utilizing control elements not only improve reporting time but also reduce chances of committing errors. Further, the application can provide map location and contact information of the emergency facilities near the incident site. Reported information is also centrally stored for references to improve response processes.  Discussion: Once substantial data is gathered from this system, it can be data-mined to predict possible hotspots, peak times and other information on the occurrences of incidents. To implement the system to a larger geographical territory, the proponents suggest employing artificial intelligence which can automatically identify and request help from the nearest possible medical facilities.
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