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Art(NET)work: visualising interconnected artwork data in VR

Art(NET)work: visualising interconnected artwork data in VR

Tsjornaja, Anne, Weinel, Jonathan ORCID: 0000-0001-5347-3897 and Broadhead, Martyn (2022) Art(NET)work: visualising interconnected artwork data in VR. In: Proceedings of EVA (Electronic Visualisation & the Arts). EVA London 2022 (4th - 8th July 2022). Electronic Workshops in Computing . BCS Learning and Development Ltd., Swindon, pp. 250-251. ISBN 978-1780175942 ISSN 1477-9358 (doi:https://doi.org/10.14236/ewic/EVA2022.47)

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Abstract

As the technology progresses, VR becomes more widespread and finds uses outside of gaming. One of these applications is virtual museums (Alatrash et al.2021). As it has been shown that active participation with art pieces plays an important role in audience experience (Passebois Ducros & Euzéby 2021), virtual museums are gaining popularity all over the world. This makes VR a great tool that is potentially able to increase audience engagement with art, increasing its outreach. Museums all over the world have launched virtual tours, allowing audiences to wander through representations of gallery spaces and take a closer look at famous art pieces. In addition to digital representations of real museums, there are also completely digital museums that are accessible only through VR. However, these completely virtual museums rarely take advantage of their freedom from the restrictions of the physical world. Harnessing the potential of VR in this domain, we present Art(NET)work: an application able to visualise data in an interactive and immersive manner that can provide a much richer and more intuitive understanding of the data.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings of EVA (Electronic Visualisation & the Arts). EVA London 2022 (4th - 8th July 2022)
Uncontrolled Keywords: virtual reality; museums and heritage; data visualisations
Subjects: N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Liberal Arts & Sciences > Sound-Image Research Group
Related URLs:
Last Modified: 11 Jul 2022 15:57
URI: http://gala.gre.ac.uk/id/eprint/36994

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