TimeTables: Embodied Exploration of Immersive Spatio-Temporal Data
- DOI
- 10.1109/vr51125.2022.00080
- Published
- 2022-03
- Container
- 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/vr51125.2022.00080,
title = {TimeTables: Embodied Exploration of Immersive Spatio-Temporal Data},
author = {Yidan Zhang and Barrett Ens and Kadek Ananta Satriadi and Arnaud Prouzeau and Sarah Goodwin},
year = {2022},
journal = {2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},
doi = {10.1109/vr51125.2022.00080},
url = {https://doi.org/10.1109/vr51125.2022.00080}
}RIS
TY - JOUR TI - TimeTables: Embodied Exploration of Immersive Spatio-Temporal Data AU - Yidan Zhang AU - Barrett Ens AU - Kadek Ananta Satriadi AU - Arnaud Prouzeau AU - Sarah Goodwin PY - 2022 JO - 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) DO - 10.1109/vr51125.2022.00080 UR - https://doi.org/10.1109/vr51125.2022.00080 ER -
APA
Zhang, Y., Ens, B., Satriadi, K. A., Prouzeau, A., & Goodwin, S. (2022). TimeTables: Embodied Exploration of Immersive Spatio-Temporal Data. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). https://doi.org/10.1109/vr51125.2022.00080
Source records
- crossref · retrieved 2026-09-26T08:15:49.101Z