Classify visitor behaviours in a cultural heritage exhibition

Salvatore Cuomo, Pasquale De Michele, Ardelio Galletti, Giovanni Ponti

Research output: Contribution to conferencePaper

16 Citations (Scopus)

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.
Original languageEnglish
DOIs
Publication statusPublished - 2016
Event4th International Conference on Data Management Technologies and Applications, DATA 2015 - Colmar, France
Duration: 1 Jan 2016 → …

Conference

Conference4th International Conference on Data Management Technologies and Applications, DATA 2015
CountryFrance
CityColmar
Period1/1/16 → …

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All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

Cuomo, S., De Michele, P., Galletti, A., & Ponti, G. (2016). Classify visitor behaviours in a cultural heritage exhibition. Paper presented at 4th International Conference on Data Management Technologies and Applications, DATA 2015, Colmar, France. https://doi.org/10.1007/978-3-319-30162-4_2