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Towards an Evaluation of a Metadata Standard for Generative Virtual Museums

  • Conference paper
Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services (UCAmI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8867))

Abstract

A methodology for evaluating the ViMCOX metadata format for designing virtual museums is discussed. Two evaluation approaches are presented, addressing (1) design aspects of virtual museums, the completeness of the metadata from the visitor’s point of view as well as measuring the acceptance of virtual museums and (2) a qualitative survey in collaboration with museum experts to identify metadata requirements and feature sets for curator tool implementations.

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Author information

Authors and Affiliations

  1. Computer and Cognitive Science (INKO) and Center for Information and Media Services (CIM), University of Duisburg-Essen, Germany

    Daniel Sacher, Daniel Biella & Wolfram Luther

  2. Virtual Reality Group, RWTH Aachen University, Germany

    Benjamin Weyers

Authors
  1. Daniel Sacher
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  2. Benjamin Weyers
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  3. Daniel Biella
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  4. Wolfram Luther
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Editor information

Editors and Affiliations

  1. Escuela Superior de Informática, Castilla Ly Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    Ramón Hervás

  2. Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, 446-701, Yongin-si, Gyeongi-do, Korea

    Sungyoung Lee

  3. Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Shore Road, BT37 0QB, Newtownabbey, UK

    Chris Nugent

  4. Escuela Superior de Informática, Castilla La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo

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© 2014 Springer International Publishing Switzerland

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Sacher, D., Weyers, B., Biella, D., Luther, W. (2014). Towards an Evaluation of a Metadata Standard for Generative Virtual Museums. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_59

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  • DOI: https://doi.org/10.1007/978-3-319-13102-3_59

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13101-6

  • Online ISBN: 978-3-319-13102-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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