TY - GEN
T1 - Digital Twin
T2 - 2024 IEEE Gaming, Entertainment, and Media Conference, GEM 2024
AU - Li, Jimmy Chi Ho
AU - Lam, Tsun Sang David
AU - Aaron, Sai Yuen Chiang
AU - Pius, King Lok Lam
AU - Lo, Chiu Kit Dickson
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The rapid growth of Graphics Processing Units (GPUs) and Artificial Intelligence (AI) has led to the emergence of Digital Twin (DT) and Virtual and Augmented Reality (VAR) technologies. This study analyses the growth of DT and VAR, driven by advancements in computing power, Big Data, and AI. The widespread adoption of these technologies will lead to wider adoption for various purposes, with the industry being a key area of focus. DT involves creating virtual replicas of physical obj ects in a full-fidelity simulation, enabling accurate digital representations for conceptualization, comparison, and collaboration over the virtual models. The practical adoption of DT is still in its early stages, primarily custom-tailored for industrial applications in manufacturing, aerospace, and health industries. However, the growth of Big Data and AI has led to an increase in interest and adoption of DT for various purposes. VAR systems provide interactive three-dimensional environments for education, entertainment, and social use. The paper focuses on the current development of DT and VAR applications in the industry, particularly in both training and assessment programmes, with the building management industry as the key case. The paper also highlights the potential use of these technologies to enhance experiences in both work and entertainment through providing more immersive virtual environments, and the use of said technology to address labour shortage issues in building management issues. By combining the latest digital technologies with gaming, the paper offers insights into the future of immersive and engaging experiences at both personal and industrial level.
AB - The rapid growth of Graphics Processing Units (GPUs) and Artificial Intelligence (AI) has led to the emergence of Digital Twin (DT) and Virtual and Augmented Reality (VAR) technologies. This study analyses the growth of DT and VAR, driven by advancements in computing power, Big Data, and AI. The widespread adoption of these technologies will lead to wider adoption for various purposes, with the industry being a key area of focus. DT involves creating virtual replicas of physical obj ects in a full-fidelity simulation, enabling accurate digital representations for conceptualization, comparison, and collaboration over the virtual models. The practical adoption of DT is still in its early stages, primarily custom-tailored for industrial applications in manufacturing, aerospace, and health industries. However, the growth of Big Data and AI has led to an increase in interest and adoption of DT for various purposes. VAR systems provide interactive three-dimensional environments for education, entertainment, and social use. The paper focuses on the current development of DT and VAR applications in the industry, particularly in both training and assessment programmes, with the building management industry as the key case. The paper also highlights the potential use of these technologies to enhance experiences in both work and entertainment through providing more immersive virtual environments, and the use of said technology to address labour shortage issues in building management issues. By combining the latest digital technologies with gaming, the paper offers insights into the future of immersive and engaging experiences at both personal and industrial level.
KW - Digital Twin
KW - VAR
KW - building management
KW - gamified training
UR - http://www.scopus.com/inward/record.url?scp=85199572707&partnerID=8YFLogxK
U2 - 10.1109/GEM61861.2024.10585583
DO - 10.1109/GEM61861.2024.10585583
M3 - Conference contribution
AN - SCOPUS:85199572707
T3 - 2024 IEEE Gaming, Entertainment, and Media Conference, GEM 2024
BT - 2024 IEEE Gaming, Entertainment, and Media Conference, GEM 2024
Y2 - 5 June 2024 through 7 June 2024
ER -