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Panoramic 360 Image Versus 2D Video: What is the Best Inside Virtual Reality?

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Design, User Experience, and Usability (HCII 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14715))

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Abstract

The paper addresses the comparison between static 360 panoramic images and 2D videos, both in virtual reality (VR) to analyze the best option to the used in Kansei method.

This study uses a sample of 23 participants, who interacted with a virtual scenario using the OCULUS Quest 2, in two modalities, the 3D panorama, where it is possible to freely look around 360º and the 2D video, where participants could observe in virtual reality an animated image. Presence and the Kansei words were evaluated: agitated/calm, uncomfortable/comfortable, devitalized/revitalized, stressed/relaxed.

We verified that there are significant differences between the two modalities, and the 3D panorama has higher values on average than the 2D video, it appears that these differences did not affect the Kansei results, which are similar. We can therefore conclude that with the scenario used in this study, any of the modalities can be used, despite there being an advantage for the 3D panorama. Studies with more complex scenarios, where there is important information to the left and right of the participants, must be developed to assess whether in these cases there are more striking differences in the presence and results obtained by kansei.

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References

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Acknowledgments

National funds finance this work through FCT – Fundação para a Ciência e a Tecnologia, I.P., under the Strategic Project with the references UIDB/04008/2020 and UIDP/04008/2020 and ITI-LARSyS FCT Pluriannual fundings 2020–2023 (UIDB/50009/2020).

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Correspondence to Bárbara Formiga .

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Formiga, B., Rebelo, F., Cruz Pinto, J., Gomes, E., Vasconcelos, A. (2024). Panoramic 360 Image Versus 2D Video: What is the Best Inside Virtual Reality?. In: Marcus, A., Rosenzweig, E., Soares, M.M. (eds) Design, User Experience, and Usability. HCII 2024. Lecture Notes in Computer Science, vol 14715. Springer, Cham. https://doi.org/10.1007/978-3-031-61359-3_4

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  • DOI: https://doi.org/10.1007/978-3-031-61359-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-61358-6

  • Online ISBN: 978-3-031-61359-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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