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Smart DCU Digital Twin: Towards Autism-Friendly Universities

Fernandez, Jaime B. orcid logoORCID: 0000-0001-9774-3879, Osadcha, Iryna, Jurelionis, Andrius orcid logoORCID: 0000-0002-4667-2107, Mahon, Kieran, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Ali, Muhammad Intizar orcid logoORCID: 0000-0002-0674-2131 (2024) Smart DCU Digital Twin: Towards Autism-Friendly Universities. In: The 2024 IEEE International Conference on Digital Twin, 02-07 Dec 2024, Denarau Island, Fiji.

Abstract
Digital Twins are one of the emerging technologies which facilitate the creation of a digital replica of physical assets and infrastructure. The majority of initial use-cases of digital twins for smart cities and smart universities has focused on creation of the 3D representation of the infrastructure. However, with the maturity of technology, digital twins are nowadays used to build use-cases for smart applications which involve multiple sources of information including geographical information, IoT sensors and use-case specific knowledge bases. Smart DCU Digital Twin is one of the initiative towards achieving a smart university status for Dublin City University (DCU). Across the globe and in Ireland many universities including DCU are working on providing additional support to students with ASD (Autism Spectrum Disorder). The primary focus of these initiatives is on improving social interactions, and reducing academic and sensory barriers for the students. In this paper, we present our work on using digital twin technology to assist DCU in achieving its objective of becoming a fully inclusive and an Autism-Friendly university, with a particular focus on the reduction of sensory barriers for its students.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:urban digital twin, smart campus, IoT, digital models, immersive technology, autism friendly universities.
Subjects:Computer Science > Artificial intelligence
Computer Science > Multimedia systems
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing
Research Institutes and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of the 2024 IEEE International Conference on Digital Twin. . IEEE.
Publisher:IEEE
Official URL:https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumb...
Funders:Science Foundation Ireland [12/RC/2289 P2] at Insight the SFI Research Centre for Data Analytics at Dublin City University
ID Code:30587
Deposited On:02 Sep 2025 14:24 by Jaime Boanerjes Fernandez Roblero . Last Modified 02 Sep 2025 14:24
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