AUTHOR=Shaer Orit , Otiono Jennifer , Qian Ziyue , Seals Ayanna , Nov Oded TITLE=Remote evaluation of augmented reality interaction with personal health information JOURNAL=Frontiers in Computer Science VOLUME=4 YEAR=2022 URL=https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2022.934694 DOI=10.3389/fcomp.2022.934694 ISSN=2624-9898 ABSTRACT=
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 (