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Classify Visitor Behaviours in a Cultural Heritage Exhibition

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Data Management Technologies and Applications (DATA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 584))

Abstract

Classify the dynamic of users in a cultural heritage exhibition in order to infer information about the event fruition is a very interesting research field. In this paper, starting from real data, we investigate the user dynamics related to the interaction with artworks and how a spectator interacts with available technologies. Accordingly with the fact that the technology plays a crucial role in supporting spectators and enhancing their experiences, the starting point of this research has been the art exhibition named The Beauty or the Truth that was located in Naples (Italy), where event was equipped with several technological tools. Here, the collected log files, stored in a suitable expert software system, are used in a flexible framework in order to analyse how the supporting pervasive technology influence and modify behaviours and visiting styles. Finally, we carried out some experiments to exploit the clustering facilities for finding groups that reflect visiting styles. The obtained results have revealed interesting issues also to understand hidden aspects in the data and unattended in the analysis.

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Notes

  1. 1.

    http://www.ilbellooilvero.it.

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Acknowledgements

Authors thank DATABENC, a High Technology District for Cultural Heritage management of Regione Campania (Italy), and ENEA Portici Research Center, ICT-DTE-HPC Department and CRESCO HPC Cluster, for supporting the paper.

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Authors and Affiliations

  1. Department of Mathematics and Applications, University of Naples “Federico II”, Naples, Italy

    Salvatore Cuomo & Pasquale De Michele

  2. Department of Science and Technology, University of Naples “Parthenope”, Naples, Italy

    Ardelio Galletti

  3. Technical Unit for ICT – High Performance Computing Division, ENEA – Portici Research Center, Portici, Italy

    Giovanni Ponti

Authors
  1. Salvatore Cuomo
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  2. Pasquale De Michele
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  3. Ardelio Galletti
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  4. Giovanni Ponti
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Corresponding author

Correspondence to Salvatore Cuomo .

Editor information

Editors and Affiliations

  1. School of Computing, Dublin City University, Dublin, Ireland

    Markus Helfert

  2. Human-Computer Interaction, Medical University of Graz, Graz, Austria

    Andreas Holzinger

  3. Department of Informatics, University of Minho, Braga, Portugal

    Orlando Belo

  4. Dept. of Electronics and Information, Politecnico di Milano, Milan, Italy

    Chiara Francalanci

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Cuomo, S., De Michele, P., Galletti, A., Ponti, G. (2016). Classify Visitor Behaviours in a Cultural Heritage Exhibition. In: Helfert, M., Holzinger, A., Belo, O., Francalanci, C. (eds) Data Management Technologies and Applications. DATA 2015. Communications in Computer and Information Science, vol 584. Springer, Cham. https://doi.org/10.1007/978-3-319-30162-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-30162-4_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30161-7

  • Online ISBN: 978-3-319-30162-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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