Vection underwater
- Original dataset Tasks: Two self-motion perception tasks (Move-to-Target and Adjust-Target) and a Size/Distance Perception task Conditions: in-pool / in-lab and supine/upright Self-reported vection experience
Document Type: | Research Data |
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Language: | English |
Author: | Nils Bury, Laurence Harris |
DOI: | https://doi.org/10.6084/m9.figshare.15067548 |
Publisher: | Figshare |
Date of first publication: | 2022/01/24 |
Funding: | This project was supported by the Hochschule Bonn-Rhein-Sieg - University of Applied Science, the German Sport University Cologne, the Canadian Space Agency, the DLR (Grant No. 50WB1627) and a VISTA Research Travel Award funded by the Canadian First Research Excellence Fund (CFREF) and York University (Toronto). R. Allison, L.R. Harris and M. Jenkin are funded by NSERC Canada. |
Keyword: | Distance Perception; Microgravity; Underwater; neutral buoyancy; optic flow; self-motion perception; vection; virtual reality |
Departments, institutes and facilities: | Fachbereich Informatik |
Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren |
Entry in this database: | 2022/04/19 |
Licence (German): | Creative Commons - CC BY - Namensnennung 4.0 International |