Data Collection and Intervention Personalized as Interactive Multimedia Documents

Kamila R. H. Rodrigues, C. C. Viel, Isabela Zaine, Bruna C. R. Cunha, L. Scalco, M. G. Pimentel
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引用次数: 4

Abstract

Mobile computing can be a facilitator for collecting data due to the fact that users carry their smartphones almost everywhere and all the time and because they can collect a wide range of data -- textual, audiovisual and data collected automatically by sensors. Considering this opportunity, we developed the ESPIM (Experience Sampling and Programmed Intervention Method), an computer-aided method for programming multimedia data collection forms and carry out remote interventions. Using the ESPIM, professionals of areas such as healthcare and education can plan data collection and define intervention programs using methods and procedures from their own areas. The programs containing the queries and tasks are retrieved by a mobile application installed in the devices of users who participate in the data collection. The mobile application runs the programs according to queries and tasks planned by the specialists. Both queries and responses can contain text, audio, and video data. In this paper we discuss about the technological infrastructure used in ESPIM system and also about the preliminary results obtained through tests and evaluation carried out with stakeholders of the target population. These results allowed us carried out improvements in the system.
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作为交互式多媒体文档的个性化数据收集与干预
移动计算可以成为收集数据的推动者,因为用户几乎随时随地都带着他们的智能手机,因为他们可以收集各种各样的数据——文本、视听和传感器自动收集的数据。考虑到这个机会,我们开发了ESPIM(经验采样和程序化干预方法),这是一种计算机辅助方法,用于编程多媒体数据收集表格并进行远程干预。使用ESPIM,医疗保健和教育等领域的专业人员可以计划数据收集,并使用自己领域的方法和程序定义干预方案。包含查询和任务的程序由安装在参与数据收集的用户设备中的移动应用程序检索。移动应用程序根据专家计划的查询和任务运行程序。查询和响应都可以包含文本、音频和视频数据。在本文中,我们讨论了ESPIM系统中使用的技术基础设施,以及通过与目标人群的利益相关者进行的测试和评估获得的初步结果。这些结果使我们能够对系统进行改进。
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