Details

Autor(en) / Beteiligte

• Hofmann, Sarah
• Özdemir, Cem
• von Mammen, Sebastian
• Liapis, Antonios
• Lopes, Phil
• Luz, Filipe
• Engström, Henrik

Titel

Record, Review, Edit, Apply: A Motion Data Pipeline for Virtual Reality Development & Design

Ist Teil von

• Proceedings of the 18th International Conference on the Foundations of Digital Games, 2023, p.1-4

Ort / Verlag

New York, NY, USA: ACM

Erscheinungsjahr

2023

Link zum Volltext

Quelle

ACM Digital Library (Association for Computing Machinery)

Beschreibungen/Notizen

• Although virtual reality (VR) applications, especially training environments are booming, and research is advancing, there is still a lack of easy, universally applicable workflows for VR development. To facilitate this process, we present a VR motion data pipeline. Stepping through its phases involves recording motion, storing, and refining the data through runtime evaluation. A generic representation of the motion data allows, for instance, to create automatic integration tests by simulating a variety of different players through data interpolation, or to standardize the setup of psychomotor training tasks by guiding the user to follow the predefined motion path and thereby moving objects in VR. In this paper, we elaborate on the pipeline and demonstrate its application in two examples.