| CODE | CGS0010 | ||||||
| TITLE | Immersive Design Experience | ||||||
| UM LEVEL | 00 - Mod Pre-Tert, Foundation, Proficiency & DegreePlus | ||||||
| MQF LEVEL | 4 | ||||||
| ECTS CREDITS | 4 | ||||||
| DEPARTMENT | Cognitive Science | ||||||
| DESCRIPTION | The study-unit aims to deliver an introductory course to professional and technical officers within the Environment and Resources Authority on the processes that are employed in the creation of immersive experiences emanating from the conversion of real-world data into a virtual visual environment. The study-unit will cover the spatial theoretical approaches and principles for creating immersive experience, the adherence to the data-cycle and the importance of lineages. The study-unit will focus on the data capture technologies and methods used in such processes inclusive of photogrammetric and laser-based technologies. This will be followed by a data analysis and outputs study on the vitality of analytical technologies and processes that in turn would lead to data visualisation. The latter aspect of the course is targeted at the reconstruction of the 2D and 3D outputs for VR, AR, MR and the CAVE technology present in the Immersion Lab. Study-unit Aims: - Deliver the theoretical approaches & principles for creating immersive experience design; - Deliver an understanding of the processes inherent in applying different methodologies from GIS to Immersion; - Deliver an understanding of the processes required from Capture to Analysis to Output to Visualisation; - Demonstrate the data capture technologies and methods through Photogrammetry and LiDAR; - Demonstrate the related analytics technologies and process; - Create interactive XR experience using different applications. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: - Explain the theories covering the GIS to Immersion approach to Visualisation; - Present the concepts of vector and raster, nadir and oblique capture; - Differentiate between Photogrammetry and LiDAR; - Be equipped to film, edit and set-up 360 videos/imagery for capture and be able to photograph real objects/scenes; - Differentiate between UAV and Laser technologies; - Describe the processes required to capture imagery using mobile devices as in smartphones/tablets; - Implement the 2D to 3D processes and techniques to manipulate 3D point clouds and meshes; - Describe the data visualisation processes and the importance of immersive outputs as well as be able to demonstrate interactive XR experience using different applications. 2. Skills By the end of the study-unit the student will be able to: - Partake to the Data cycle in real-case scenarios, through the design, capture, data cleaning, analysis and outputs; - Capture photogrammetric imagery; - Capture laser-based scenarios; - Convert real-world data capture into virtual scenes for consumption by enforcers, policy-makers and decision-takers; - Create interactive XR experience using different applications, such as Unity. Main Text/s and any supplementary readings: Main Available in OAR and sites available for doawnload: - Antonopoulou, C., Arsenopoulou, N., Cali, F., Papageorgopoulou, P., and Rizopoulos, C., (2023). Selected aspects of designing, developing, and evaluating XR experiences. Zarządzanie Mediami. 11. 10.4467/23540214ZM.23.001.19488. - Formosa S., & Formosa Pace, J., (2022). Digitisation, Digitalisation, Digital Transformation: The Maltese Spatial Encounter in S., Formosa, J., Formosa Pace, & E., Sciberras, (Eds). (2022). Virtualis: Social, Spatial and Technological Spaces in Real and Virtual Domains - SpatialTrain III, Planning Authority, ISBN 978-9918-23-097-6 - Formosa S., (2022). Beauty and Danger: the Ghar Lapsi case for spatial information integration in S., Formosa, E., Sciberras, & M., Bonazountas, (Eds). (2022). Pathways to Spatial Cognition: A Multi-Domain Approach - SpatialTrain I, Planning Authority, ISBN 978-9918-23-093-8 - Sweeney, B., and Adams, A., (2009). Virtual World Users Evaluated According to Environment Design, Task Based and Affective Attention Measures. 381-387. 10.14236/ewic/HCI2009.47. Supplementary - Du, W., and Beltrame, G., (2024). LiDAR-based Real-Time Object Detection and Tracking in Dynamic Environments. 10.48550/arXiv.2407.04115. - Formosa S., (2022). Taking LiDAR to Court: Mapping vapour evidence through Spatial Forensics in S., Formosa, E., Sciberras & C. Galdies, (Eds). (2022). Applied Geomatics Approaches in the Maltese Islands - SpatialTrain II, Planning Authority, ISBN 978-9918-23-095-2 - Liu, Y., Wang, C., Wu, H., and Wei, Y., (2024). An Effective LiDAR-Inertial SLAM-Based Map Construction Method for Outdoor Environments. Remote Sensing. 16. 3099. 10.3390/rs16163099. - Nguyen, T.T.N., & Formosa S., (2022). Reconstructing Humans Using Photogrammetry in S., Formosa, J., Formosa Pace, & E., Sciberras, (Eds). (2022). Virtualis: Social, Spatial and Technological Spaces in Real and Virtual Domains - SpatialTrain III, Planning Authority, ISBN 978-9918-23-097-6 - Patonis, P., (2024). A Comparative Study on the Use of Smartphone Cameras in Photogrammetry Applications. Sensors. 24. 7311. 10.3390/s24227311. - Zhang, C., Duan, L., Hu, B., Xue, Y., Cheng, Y., and Wang, Y., (2024). Design and realization of the digital protection platform of traditional intangible cultural heritage based on virtual reality technology. Applied Mathematics and Nonlinear Sciences. 9. 10.2478/amns-2024-1225. |
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| STUDY-UNIT TYPE | Lecture and Fieldwork | ||||||
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| LECTURER/S | Fabrizio Cali Saviour Formosa (Co-ord.) Thi Ngoc Tram Nguyen |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2025/6. It may be subject to change in subsequent years. |
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