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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/7324

    Título
    Countering the Novelty Effect: A Tutorial for Immersive Virtual Reality Learning Environments
    Autor
    Miguel Alonso, InésUBU authority Orcid
    Rodríguez García, Bruno
    Checa, David
    Bustillo Iglesias, AndrésUBU authority Orcid
    Publicado en
    Applied sciences. 2023, V. 13, n. 1, 593
    Editorial
    MDPI
    Fecha de publicación
    2023-01
    DOI
    10.3390/app13010593
    Abstract
    Immersive Virtual Reality (iVR) is a new technology, the novelty effect of which can reduce the enjoyment of iVR experiences and, especially, learning achievements when presented in the classroom; an effect that the interactive tutorial proposed in this research can help overcome. Its increasingly complex levels are designed on the basis of Mayer’s Cognitive Theory of Multimedia Learning, so that users can quickly gain familiarity with the iVR environment. The tutorial was included in an iVR learning experience for its validation with 65 users. It was a success, according to the user satisfaction and tutorial usability survey. First, it gained very high ratings for satisfaction, engagement, and immersion. Second, high skill rates suggested that it helped users to gain familiarity with controllers. Finally, a medium-high value for flow pointed to major concerns related to skill and challenges with this sort of iVR experience. A few cases of cybersickness also arose. The survey showed that only intense cybersickness levels significantly limited performance and enjoyment; low levels had no influence on flow and immersion and little influence on skill, presence, and engagement, greatly reducing the benefits of the tutorial, despite which it remained useful.
    Palabras clave
    Cybersickness
    Education
    Tutorial
    Novelty effect
    Virtual reality
    Materia
    Informática
    Computer science
    URI
    http://hdl.handle.net/10259/7324
    Versión del editor
    https://doi.org/10.3390/app13010593
    Collections
    • Artículos ADMIRABLE
    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
    Files in this item
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    Miguel-as_2023.pdf
    Tamaño:
    3.918Mb
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