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IEEE VR 2023 Workshop: Datasets for developing intelligent XR applications (DATA4XR)

Communication avec acte
Auteur
ccWANG, Yuyang
97019 Hong Kong University of Science and Technology [HKUST]
ccCHARDONNET, Jean-Rémy
301320 École Nationale Supérieure d'Arts et Métiers [ENSAM]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
LEE, Lik-Hang
61400 The Hong Kong Polytechnic University [Hong Kong] [POLYU]
HUI, Pan
97019 Hong Kong University of Science and Technology [HKUST]

URI
http://hdl.handle.net/10985/25246
DOI
10.1109/vrw58643.2023.00019
Date
2023-03-26

Résumé

The 2nd workshop on Datasets for Developing Intelligent XR Applications (DATA4XR) aims to address the challenges of public datasets and reproducibility in Extended Reality, also known as XR (Augmented Reality, Virtual Reality, and Mixed Reality) research. The workshop brings together experts to discuss the availability, privacy concerns, and ethics related to open-sourcing the datasets used in XR research for algorithm training and user behavior analysis. By examining the ethical, moral, and privacy concerns.

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LISPEN_VR_2023_CHARDONNET.pdf
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Format:
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Fin d'embargo:
2023-09-26
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Cette publication figure dans le(s) laboratoire(s) suivant(s)

  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • A Deep Cybersickness Predictor through Kinematic Data with Encoded Physiological Representation 
    Communication avec acte
    LI, Ruichen; WANG, Yuyang; YIN, Handi; ccCHARDONNET, Jean-Rémy; HUI, Pan (2023-10-16)
    Users would experience individually different sickness symptoms during or after navigating through an immersive virtual environment, generally known as cybersickness. Previous studies have predicted the severity of ...
  • Using Fuzzy Logic to Involve Individual Differences for Predicting Cybersickness during VR Navigation 
    Communication avec acte
    ccWANG, Yuyang; OVTCHAROVA, Jivka; ccMERIENNE, Frédéric; ccCHARDONNET, Jean-Rémy (IEEE, 2021)
    Many studies have explored how individual differences can affect users’ susceptibility to cybersickness in a VR application. However, the lack of strategy to integrate the influence of each factor on cybersickness makes ...
  • Development of a speed protector to optimize user experience in 3D virtual environments 
    Article dans une revue avec comité de lecture
    ccWANG, Yuyang; ccMERIENNE, Frédéric; ccCHARDONNET, Jean-Rémy (Elsevier, 2021)
    Virtual walking in virtual environments (VEs) requires locomotion interfaces, especially when the available physical environment is smaller than the virtual space due to virtual reality facilities limitations; many navigation ...
  • Prediction of cybersickness in virtual environments using topological data analysis and machine learning 
    Article dans une revue avec comité de lecture
    HADADI, Azadeh; ccCHRISTOPHE, GUILLET; ccLANGOVOY, Mikhail; ccWANG, Yuyang; ccOVTCHAROVA, Jivka; ccCHARDONNET, Jean-Rémy (Frontiers Media SA, 2022-10-11)
    Recent significant progress in Virtual Reality (VR) applications and environments raised several challenges. They proved to have side effects on specific users, thus reducing the usability of the VR technology in some ...
  • VR Sickness Prediction for Navigation in Immersive Virtual Environments using a Deep Long Short Term Memory Model 
    Communication avec acte
    ccWANG, Yuyang; ccMERIENNE, Frédéric; ccCHARDONNET, Jean-Rémy (IEEE, 2019)
    This paper proposes a new objective metric of visually induced motion sickness (VIMS) in the context of navigation in virtual environments (VEs). Similar to motion sickness in physical environments, VIMS can induce many ...

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