Remote evaluation of augmented reality interaction with personal health information
Remote evaluation of augmented reality interaction with personal health information
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DOI：
10.3389/fcomp.2022.934694
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发表时间：
2022-08
期刊：
影响因子：
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通讯作者：
Orit Shaer;Jennifer Otiono;Ziyue Qian;Ayanna Seals;O. Nov
中科院分区：
文献类型：
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作者：
Orit Shaer;Jennifer Otiono;Ziyue Qian;Ayanna Seals;O. Nov
本文讨论了用于研究如何利用增强现实(AR)向非专家用户呈现“基因组”(即基因组、微生物、病原体、过敏原)信息的新的研究方法。虽然现有的研究表明AR作为个人健康工具的潜力，但方法学挑战对AR研究的开展方式构成了障碍。特别是随着远程测试变得越来越流行，对AR系统的新评估方法的需求越来越大。在这篇文章中，我们介绍了两项AR研究，适用于个人健康背景下的远程研究环境。第一项研究(n=355)是使用AR网络应用程序进行的非适度远程研究，以探索对用户的抽象病原体和缓解行为进行分层对感知风险感知、负面情绪和行为意图的影响。这项研究介绍了满足参与者前体要求的方法、提供AR干预的平台的多样性、无监督的设置以及按照指示对参与进行验证。第二项研究(n=9)介绍了技术探测器的设计和适度的远程评估，这是一种新型AR工具的原型，它将模拟的、及时的和可操作的环境组学数据覆盖在参与者的生活环境中，帮助用户将数据联系起来并理解其意义。总体而言，这两项研究有助于理解将AR作为健康行为的工具和远程、在家进行的实证研究的干预措施。
This article discusses novel research methods used to examine how Augmented Reality (AR) can be utilized to present “omic” (i.e., genomes, microbiomes, pathogens, allergens) information to non-expert users. While existing research shows the potential of AR as a tool for personal health, methodological challenges pose a barrier to the ways in which AR research can be conducted. There is a growing need for new evaluation methods for AR systems, especially as remote testing becomes increasingly popular. In this article, we present two AR studies adapted for remote research environments in the context of personal health. The first study (n = 355) is a non-moderated remote study conducted using an AR web application to explore the effect of layering abstracted pathogens and mitigative behaviors on a user, on perceived risk perceptions, negative affect, and behavioral intentions. This study introduces methods that address participant precursor requirements, diversity of platforms for delivering the AR intervention, unsupervised setups, and verification of participation as instructed. The second study (n = 9) presents the design and moderated remote evaluation of a technology probe, a prototype of a novel AR tool that overlays simulated timely and actionable environmental omic data in participants' living environment, which helps users to contextualize and make sense of the data. Overall, the two studies contribute to the understanding of investigating AR as a tool for health behavior and interventions for remote, at-home, empirical studies.