Collaborative VR Data Storytelling
By: Melvin He (2023)
Collaborative Data Storytelling in VR
Collaborative storytelling in VR refers to the process of creating a shared virtual reality experience where multiple users can contribute to the narrative in real time. It involves using virtual reality technology to create an immersive environment where users can interact with each other and the virtual world to build a story together. This can involve creating a storyline, characters, and objects in the virtual space, and using voice or text chat to communicate and collaborate with other users. Collaborative storytelling in VR can be used for a variety of purposes, including entertainment, education, and team building.
Flow Immersive for Creating Collaborative Data Storytelling Visualizations
Flow Immersive is a platform that supports collaborative storytelling in VR by allowing multiple users to work together in real-time to create immersive experiences. Here are some ways that Flow Immersive supports collaborative storytelling:
Multi-user support: Flow Immersive allows multiple users to work together in real-time on the same project. This means that users can collaborate and contribute to the story at the same time, which can be a powerful tool for building immersive experiences.
User permissions: Flow Immersive allows users to set permissions for other users, such as read-only or editing access. This can help to ensure that only authorized users are making changes to the story, which can help to maintain consistency and quality.
Version control: Flow Immersive includes version control features, which allow users to track changes made to the story over time. This can be useful for reviewing and reverting changes, as well as for keeping track of who made which changes.
Asset libraries: Flow Immersive includes a library of assets that users can use to build their stories. This can include 3D models, images, and other resources. Users can also import their own assets to use in their stories.
A drawback is that the Software appears to be rather closed sourced and not very suitable for