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Museum Visitor Experiences Based on Hyperspectral Image Data

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Human-Computer Interaction – INTERACT 2023 (INTERACT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14143))

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Abstract

Hyper- and multispectral imaging allows to collect data from specific wavelength ranges or across the electromagnetic spectrum, including frequencies that are imperceivable for humans. As non-invasive imaging techniques, it has been used in the field of art conservation and art history extensively in the past. In these areas application of hyperspectral imaging include for example conservation monitoring or pigment identification. In the context of museum exhibits, hyperspectral data of artworks offers a unique opportunity to enhance visitor experiences by providing new ways of engaging with artefacts, artworks, and cultural heritage. This paper presents design concepts for creating immersive and meaningful experiences using hyperspectral data. We used an expert led design workshop to explore the possibilities of museum experiences with such data, including considerations such as suited technologies, visitor types and visitor experience.

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Correspondence to Markus Löchtefeld .

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Löchtefeld, M., Papachristos, E., Deborah, H. (2023). Museum Visitor Experiences Based on Hyperspectral Image Data. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14143. Springer, Cham. https://doi.org/10.1007/978-3-031-42283-6_35

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  • DOI: https://doi.org/10.1007/978-3-031-42283-6_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42282-9

  • Online ISBN: 978-3-031-42283-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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