Towards the Evaluation of Augmented Reality in the Metaverse: Information Presentation Modes

Author:

Gattullo MicheleORCID,Laviola EnricoandreaORCID,Evangelista AlessandroORCID,Fiorentino MicheleORCID,Uva Antonio Emmanuele

Abstract

In the future, many activities will be carried out in the Metaverse: hybrid offices and video-based education are just some examples. The way research is carried out could change, too. In this context, this work investigates the possibility of simulating Augmented Reality (AR) user studies on information presentation in a virtual environment. Organizing an industrial setup is complex; thus, most studies are executed in laboratories. However, lab experiments present limitations, e.g., the number and variety of participants and the availability of facilities. User studies may also be carried out by exploiting simulated AR, as an initial step for the Metaverse, where people are connected regardless of their location. This alternative could be used to carry out experiments on AR information presentation to solve common issues, such as the lack of physical equipment to perform component location tasks and the long time required to collect a large sample of users. Indeed, researchers could propose CAD models with information that simulates the same visual realism achieved with true AR. Moreover, multiple tests could be conducted in parallel by not relying on a limited amount of physical equipment per user. In this work, we developed and evaluated a desktop-simulated testing environment (DSTE) to conduct AR information presentation experiments remotely. We applied it in a pilot user study, revealing that the proposed DSTE was effective for the related research goals. Furthermore, 40 participants reported a positive user experience. The evaluation confirms that using a DSTE is promising for collecting and analyzing data from a wide range of people.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference45 articles.

1. A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard;IEEE Access,2018

2. Augmented Reality in Industry 4.0;Manuri;Am. J. Comput. Sci. Inf. Technol.,2018

3. Adopting augmented reality in the age of industrial digitalisation;Masood;Comput. Ind.,2020

4. Uva, A., Fiorentino, M., Gattullo, M., Colaprico, M., de Ruvo, M.F., Marino, F., Trotta, G.F., Manghisi, V.M., Boccaccio, A., and Bevilacqua, V. (2016). Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer.

5. Boccaccio, A., Cascella, G.L., Fiorentino, M., Gattullo, M., Manghisi, V.M., Monno, G., and Uva, A.E. (2019). Lecture Notes in Mechanical Engineering, Springer.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3