THERE'S A GOOGLE SCHOLAR ALERT FOR THAT: AN INTEGRATIVE REVIEW METHODOLOGY EXPLORING MOBILE APP FEATURES THROUGH LEXIMANCER

A. Potgieter, C. Rensleigh
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Abstract

Mobile application (app) usage has become a universal trend. Paramount in most app designers' focus, is what mobile app users want in terms of features offered by an app. Forming part of a larger study which aims to determine the most desirable app features for a mobile blood donation app, this paper reports on one section of that study's exploratory sequential mixed method research strategy.The paper illustrates how the use of Google Scholar alerts, over a period of six months, was systematically employed to inform the researchers of the most current research on app features. Abstracts and keywords from 47 academic articles which were included in the alert emails, were analysed through the natural language analysis software Leximancer. The findings aimed at highlighting prominent concepts and themes related to the development, selection, and application of mobile app features. Findings showed a prevalence of research articles focused on mobile health apps, specifically apps that support self-management of various illnesses.
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谷歌学者对此有一个警告:一种通过lexximancer探索移动应用功能的综合评价方法
移动应用程序(app)的使用已经成为一种普遍趋势。大多数应用程序设计师最关注的是,手机应用程序用户对应用程序提供的功能的需求。作为一项旨在确定手机献血应用程序最理想的应用程序功能的大型研究的一部分,本文报告了该研究的探索性顺序混合方法研究策略的一部分。这篇论文阐述了在六个月的时间里,如何系统地使用Google Scholar提醒来通知研究人员有关应用程序功能的最新研究。通过自然语言分析软件Leximancer对警报邮件中包含的47篇学术论文的摘要和关键词进行分析。调查结果旨在突出与移动应用程序功能的开发、选择和应用相关的突出概念和主题。调查结果显示,关注移动健康应用程序的研究文章普遍存在,特别是支持各种疾病自我管理的应用程序。
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