Visitor Dynamics in a Cultural Heritage Scenario

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

2015

Abstract

We propose a biologically inspired mathematical model to simulate the personalized interactions of users with cultural heritage objects and spaces in the real case of an exhibition. The main idea is to measure the interests of a spectator with respect to an artwork by means of a model able to describe the users behavioural dynamics. In our approach, the user is assimilated to a computational neuron, and its interests are deduced by counting potential spike trains, generated by external currents. As an effort, we relies on an huge amount of log files that store visitors movements and interactions within a beautiful art exhibition named The Beauty or the Truth located in Naples, Italy. The technological tools deployed within the exhibition aim to create a novel metaphor stimulating user enjoyment and knowledge diffusion and the collected log files are useful data to analyse how such technology an influence and modify user behaviours. We also performed an experimental analysis exploiting clustering facilities to discover natural groups that reflect visiting styles. This is particularly suitable to provide the tuning of a heuristic classifier. The obtained results revealed to be particularly interesting also to understand other important aspects hidden in the data and unattended in our first analysis.

References

1. Cuomo, S., De Michele, P., and M., P. (2014a). A biologically inspired model for describing the user behaviors in a cultural heritage environment. In Proceedings - Advanced Database Systems (SEBD), 22nd Italian Symposium on, pages 292-302.
2. Cuomo, S., De Michele, P., Ponti, G., and M., P. (2014b). A clustering-based approach for a finest biological model generation describing visitor behaviours in a cultural heritage scenario. In Proceedings - Data Management Technologies and Applications (DATA), 3rd International Conference on, pages 427-433.
3. Jain, A. and Dubes, R. (1988). Algorithms for Clustering Data. Prentice-Hall.
4. Kleinberg, J. (2008). The convergence of social and technological networks. Commun. ACM, 51(11):66-72.
5. Kumar, R., Novak, J., and Tomkins, A. (2010). Link Mining: Models, Algorithms, and Applications, chapter Structure and Evolution of Online Social Network, pages 337-357. J. Am. Soc. Inf. Sci. Technol.
6. Middleton, S., Shadbolt, N., and De Roure, D. (2003). Capturing interest through inference and visualization: Ontological user profiling in recommender systems. In Proceedings - Knowledge Capture, 2Nd International Conference on, pages 62-69.
7. Zancanaro, M., Kuflik, T., Boger, Z., Goren-Bar, D., and Goldwasser, D. (2007). Analyzing museum visitors' behavior patterns. User Modeling 2007 - Lecture Note in Computer Science, 4511:238-246.

Paper Citation

in Harvard Style

Cuomo S., De Michele P., Galletti A., Pane F. and Ponti G. (2015). Visitor Dynamics in a Cultural Heritage Scenario . In Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2015) ISBN 978-989-758-103-8, pages 337-343. DOI: 10.5220/0005579603370343

in Bibtex Style

@conference{komis15,
author={Salvatore Cuomo and Pasquale De Michele and Ardelio Galletti and Francesco Pane and Giovanni Ponti},
title={Visitor Dynamics in a Cultural Heritage Scenario},
booktitle={Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2015)},
year={2015},
pages={337-343},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005579603370343},
isbn={978-989-758-103-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of 4th International Conference on Data Management Technologies and Applications - Volume 1: KomIS, (DATA 2015)
TI - Visitor Dynamics in a Cultural Heritage Scenario
SN - 978-989-758-103-8
AU - Cuomo S.
AU - De Michele P.
AU - Galletti A.
AU - Pane F.
AU - Ponti G.
PY - 2015
SP - 337
EP - 343
DO - 10.5220/0005579603370343