A System Design to Create Mixed 360 Video and 3D Content for Virtual Field Trip

As VR becomes more widely accessible, an increasing number of VR educational solutions have been proposed for remote teaching. However, most of the current virtual reality teaching platforms are not friendly for non-VR educators to create immersive custom scenes. Virtual reality content development...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE International Symposium on Mixed and Augmented Reality Workshops (Online) s. 198 - 201
Hlavní autoři: Li, Liangding, Carnell, Stephanie, Reiners, Dirk, Cruz-Neira, Carolina
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2022
Témata:
ISSN:2771-1110
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:As VR becomes more widely accessible, an increasing number of VR educational solutions have been proposed for remote teaching. However, most of the current virtual reality teaching platforms are not friendly for non-VR educators to create immersive custom scenes. Virtual reality content development still needs expertise and is time-consuming, even with the growing wave of 3D digitization efforts. We present a prototype system to address the challenge of using VR as a tool to enable educators to create immersive collaborative field experiences in a manner that they can build their own instructional content as a combination of real-time 3D assets, immersive video, and interaction. This system combines the advantage of 360 videos and 3D models. 360 video serves as a backdrop to capture environmental detail and dynamic changes. 3D models could be added at runtime via our web-based application for detailed observation and interaction. We present the system performance analysis, lessons learned from system development, and suggestions for further research. We live-streamed a field trip event from the seashore to a local science center with the help of marine biologists and conducted a system performance analysis. We also present system limitations at the current stage and suggestions for future research.
ISSN:2771-1110
DOI:10.1109/ISMAR-Adjunct57072.2022.00044