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

【Author】 Gattullo, Michele; Laviola, Enricoandrea; Evangelista, Alessandro; Fiorentino, Michele; Uva, Antonio Emmanuele

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【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.

【Keywords】AR simulation; user interaction; information presentation; user study; industrial metaverse

【发表时间】2022 DEC

【收录时间】2023-01-06

【文献类型】理论模型

【主题类别】

区块链应用-虚拟经济-元宇宙