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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

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Metadaten
Document Type:Research Data
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):License LogoCreative Commons - CC BY - Namensnennung 4.0 International