Data-driven analysis of virtual 3d exploration of a large sculpture collection in real-world museum exhibitions

Marco Agus, Fabio Marton, Fabio Bettio, Markus Hadwiger, Enrico Gobbetti

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We analyze use of an interactive system for the exploration of highly detailed three-dimensional (3D) models of a collection of protostoric Mediterranean sculptures. In this system, when the object of interest is selected, its detailed 3D model and associated information are presented at high resolution on a large display controlled by a touch-enabled horizontal surface at a suitable distance. The user interface combines an object-Aware interactive camera controller with an interactive point-ofinterest selector and is implemented within a scalable implementation based on multiresolution structures shared between the rendering and user interaction subsystems. The system was installed in several temporary and permanent exhibitions and was extensively used by tens of thousands of visitors. We provide a data-driven analysis of usage experience based on logs gathered during a 27-month period at four exhibitions in archeological museums for a total of more than 75K exploration sessions. We focus on discerning the main visitor behaviors during 3D exploration by employing tools for deriving interest measures on surfaces and tools for clustering and knowledge discovery from high-dimensional data. The results highlight the main trends in visitor behavior during the interactive sessions. These results provide useful insights for the design of 3D exploration user interfaces in future digital installations.

Original languageEnglish (US)
Article numbera2
JournalJournal on Computing and Cultural Heritage
Volume11
Issue number1
DOIs
StatePublished - Dec 2017

Bibliographical note

Funding Information:
This work was partially supported by Soprintendenza Archeologia della Sardegna under project MONTEPRAMA4. We also acknowledge the contribution of Sardinian Regional Authorities under projects VIGEC and TDM. The project also had support from King Abdullah University of Science and Technology. Authors’ addresses: F. Marton, F. Bettio, and E. Gobbetti, CRS4, POLARIS Ed. 1, 09010 Pula (CA), Italy; email: firstname.lastname@crs4.it www: http://www.crs4.it/vic/; M. Agus and M. Hadwiger, Visual Computing Center, King Abdullah University of Science and Technology, Building 1, 23955-6900, Thuwal, Kingdom of Saudi Arabia; email: firstname.secondname@kaust.edu.sa www: http://vcc.kaust.edu.sa. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2017 ACM 1556-4673/2017/12-ART2 $15.00 https://doi.org/10.1145/3099618

Publisher Copyright:
© 2017 ACM.

Keywords

  • Data-driven analysis
  • Digital heritage
  • User study
  • Virtual museums

ASJC Scopus subject areas

  • Conservation
  • Information Systems
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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