移动医疗应用程序自动可用性指南审查检查框架的试点研究

Jing Xu, Xiang Ding, Ke Huang, Guanling Chen
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引用次数: 17

摘要

可用性对于任何交互式软件都是非常重要的。在移动领域,由于无处不在的计算环境中移动设备的特点和使用,应用程序在向最终用户提供良好体验方面面临更多挑战。对于移动医疗应用程序,这种情况可能会加剧,因为目标人群或领域可能会对可用性提出更严格的要求。在众多可用性评估方法中,启发式评估(HE)已被证明是一种有效的方法。然而,由可用性专业人员组织启发式评估可能是昂贵和耗时的,特别是对于由快速迭代生成的频繁原型更新。由于移动应用程序通常需要在不同的硬件平台上运行,因此由人工专家进行的手动检查也存在可伸缩性问题。为了帮助在早期阶段发现潜在的可用性问题并减少人类可用性专家的工作量,我们提出了一个检查框架,用于对移动医疗应用程序进行自动指南审查。检查框架基于健康信息管理系统协会(HIMSS)移动健康应用程序可用性指南。首先,我们将可用性指南的高层次描述转换为可由软件度量的可操作的度量标准。其次,我们通过提供对建议的度量标准和真实案例研究的详细分析来证明翻译是有意义的。我们希望这个框架可以用来强制执行移动健康应用程序可用性的最低标准,并在该领域开发新产品时进一步调整。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Pilot Study of an Inspection Framework for Automated Usability Guideline Reviews of Mobile Health Applications
Usability is of significant importance for any interactive software. In the mobile domain, applications face more challenges to deliver good experiences to end users due to the characteristics and usage of mobile devices in ubiquitous computing contexts. The situation may be exacerbated for mobile health applications since the target population or domain may impose even stricter usability requirements. Heuristic Evaluation (HE) or guideline review has proven itself to be an effective approach among many usability evaluation methods. Organizing heuristic evaluation by usability professionals, however, can be costly and time consuming, particularly for frequent prototype updates generated by fast iterations. Manual inspection by human experts also suffers from scalability issues as mobile applications often need to run on a diverse set of hardware platforms. To help find potential usability problems at an early stage and reduce the workload of human usability experts, we propose an inspection framework to conduct automated guideline reviews of mobile health applications. The inspection framework is based on the Health Information Management Systems Society (HIMSS) usability guidelines for mHealth applications. First, we translate the high level descriptions of usability guidelines into operationalized metrics that can be measured by software. Second, we demonstrate the translation is meaningful by providing detailed analysis of suggested metrics and real-world case studies. We hope this framework can be used to enforce a minimum bar for the usability of mobile health applications and further adapted when new products in the field are developed.
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