LoCoMoTe Dashboard: An Interactive Online Dashboard for the Standardised Categorisation of Natural Walking VR Experiments
Croucher,Charlotte Powell,Wendy Wiltshire,Travis Spronck,Pieter
Croucher,Charlotte
Powell,Wendy
Wiltshire,Travis
Spronck,Pieter
Abstract
This paper presents the ‘LoCoMoTe Dashboard’, a new interactive online application of the newly developed ‘Locomotion categorisation by Task, Technique, and Modality Framework’, referred to as the ‘LoCoMoTe Framework’. The LoCoMoTe Framework was developed as a dynamic community-driven resource to give coherence to the virtual reality (VR) locomotion literature by categorising VR-based ‘natural walking’ experiments, supporting open-science and data sharing where appropriate, but without an accompanying tool; the framework remains static. Therefore, the development of the LoCoMoTe Dashboard facilitates this by providing researchers with a tool to visualise and cross-filter categorised experiments and download the results as CSV files. Additionally, the LoCoMoTe Dashboard documents a procedure on how researchers can suggest edits and add new experiments. Thus, the LoCoMoTe Dashboard facilitates the purpose of the LoCoMoTe Framework, supporting the vision for a more collaborative, knowledge-sharing, and reproducible research community.
Description
Publisher Copyright: © 2024 IEEE.
Date
2024-03-16
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Publisher
IEEE
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Keywords
Human-Computer Interaction, Navigation, Redirected Walking, Virtual Reality
Citation
Croucher, C, Powell, W, Wiltshire, T & Spronck, P 2024, LoCoMoTe Dashboard : An Interactive Online Dashboard for the Standardised Categorisation of Natural Walking VR Experiments. in Proceedings - 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2024. IEEE, pp. 386-388, The 31st IEEE Conference on Virtual Reality and 3D User Interfaces, Orlando, Florida, United States, 16/03/24. https://doi.org/10.1109/VRW62533.2024.00075
License
info:eu-repo/semantics/closedAccess