User Acceptance of A Modular Interactive Digital Twin of The Production Department for Virtual Reality

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23210%2F22%3A43966719" target="_blank" >RIV/49777513:23210/22:43966719 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10216414" target="_blank" >https://ieeexplore.ieee.org/document/10216414</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CSCI58124.2022.00214" target="_blank" >10.1109/CSCI58124.2022.00214</a>

Result language
angličtina
Original language name
User Acceptance of A Modular Interactive Digital Twin of The Production Department for Virtual Reality
Original language description
This thesis deals with the creation and verification of a modular interactive digital twin of the assembled production section of a Fischertechnik kit in virtual reality. The experimental reference physical modular section was primarily designed for the training of industrial engineers and has proven to be very useful during practice. In this paper, a method for creating a digital twin (DT) of the reference physical model and its implementation for virtual reality (VR) will be demonstrated. Furthermore, an initial pilot study will be described to preliminarily verify the potential of the solution for virtual training and further follow-up research. A randomized group of students was selected to be exposed to the actual physical model and then to the same model in virtual reality. The surprising result was that when validated immediately after the exposures, there was a higher rate of recall in the virtual reality work than in the physical model work. These results are discussed. In a follow-up study, we want to focus on the synchronization issue, which proved to be the most difficult to implement.
Czech name
—
Czech description
—

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
ISBN
979-8-3503-2028-2
ISSN
2769-5670
e-ISSN
2769-5654
Number of pages
6
Pages from-to
1193-1198
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Piscataway
Event location
Las Vegas, USA
Event date
Dec 14, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)