Articles

Measuring and evaluating visitors' behaviors inside museums: the Co.ME. project


Abstract


The use of ICT in the field of Cultural Heritage offers unprecedented opportunities to improve cultural sites management (e.g., archaeological areas or museum). Taking advantage of innovative methods of data acquisition through ambient intelligence and space sensing infrastructures, the Co.ME. project has developed a system to turn exhibitions into sensitive spaces, able to quantify and register visitors’ behavior. A solution that provides to museum professionals all the necessary data to understand their public, making possible to structure a cultural offer based on visitors’ needs. After a short theoretical introduction on the project framework, the paper presents the case study of the Civic Museums of Palazzo Buonaccorsi in Macerata (Italy), demonstrating the effectiveness of this approach in terms of both data collection and monitoring system; useful solutions to improve museum installations and communication, as well to optimally plan staff attendance.

Keywords


Museum systems; Space Sensing; Visitor behavior; Cultural Heritage management; Digital transformation

Full Text:

PDF


DOI: http://dx.doi.org/10.2423/i22394303v11n1p167

References


Alletto, S., Cucchiara, R., Del Fiore, G., Mainetti, L., Mighali, V., Patrono, L., & Serra, G. (2015). An indoor location-aware system for an IoT-based smart museum. IEEE Internet of Things Journal, 3(2), 244–253.

Bollo, A. (2004). Il museo e la conoscenza del pubblico: gli studi sui visitatori. Bologna: Istituto per i Beni Artistici, Culturali e Naturali, 20, 2017.

Caglayan, A., Imamoğlu, N., Can, A., & Nakamura, R. (2020). When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition. ArXiv Preprint ArXiv:2004.12349.

Chianese, A., & Piccialli, F. (2014). Designing a smart museum: When cultural heritage joins IoT. 2014 Eighth International Conference on next Generation Mobile Apps, Services and Technologies, 300–306.

Del Fiore, G., Mainetti, L., Mighali, V., Patrono, L., Alletto, S., Cucchiara, R., & Serra, G. (2016). A location-aware architecture for an IoT-based smart museum. International Journal of Electronic Government Research (IJEGR), 12(2), 39–55.

Direzione generale Musei - MIBACT. (2019). Piano Triennale per la Digitalizzazione e l’Innovazione dei Musei. Retrieved from http://musei.beniculturali.it/wp-content/uploads/2019/08/Piano-Triennale-per-la-Digitalizzazione-e-l’Innovazione-dei-Musei.pdf

Gao, J., & Nevatia, R. (2018). Revisiting temporal modeling for video-based person reid. ArXiv Preprint ArXiv:1805.02104.

Gupta, S., Girshick, R., Arbeláez, P., & Malik, J. (2014). Learning rich features from RGB-D images for object detection and segmentation. European Conference on Computer Vision, 345–360.

Hermans, A., Beyer, L., & Leibe, B. (2017). In defense of the triplet loss for person re-identification. ArXiv Preprint ArXiv:1703.07737.

Karaman, S., Bagdanov, A. D., Landucci, L., D’Amico, G., Ferracani, A., Pezzatini, D., & Del Bimbo, A. (2016). Personalized multimedia content delivery on an interactive table by passive observation of museum visitors. Multimedia Tools and Applications, 75(7), 3787–3811.

Lanir, J., Kuflik, T., Sheidin, J., Yavin, N., Leiderman, K., & Segal, M. (2017). Visualizing museum visitors’ behavior: Where do they go and what do they do there? Personal and Ubiquitous Computing, 21(2), 313–326. https://doi.org/10.1007/s00779-016-0994-9

Loghmani, M. R., Planamente, M., Caputo, B., & Vincze, M. (2019). Recurrent convolutional fusion for RGB-D object recognition. IEEE Robotics and Automation Letters, 4(3), 2878–2885.

Luo, S.-S., Shedd, B. A., & Nanetti, A. (2018). Enhancing the Experience of the Western Xia Imperial Tombs Heritage Site (PRC, Ningxia) through Animated Installations. SCIRES-IT-SCIentific RESearch and Information Technology, 8(1), 1–32. http://dx.doi.org/10.2423/i22394303v8n1p1

Martini, M., Paolanti, M., & Frontoni, E. (2020). Open-World Person Re-Identification With RGBD Camera in Top-View Configuration for Retail Applications. IEEE Access, 8, 67756–67765.

McLaughlin, N., Del Rincon, J. M., & Miller, P. (2016). Recurrent convolutional network for video-based person re-identification. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1325–1334.

MIBACT - Ufficio Statistica. (2019). Retrieved from http://www.statistica.beniculturali.it/ Visitatori_e_introiti_musei_18.htm

Osaba, E., Pierdicca, R., Malinverni, E. S., Khromova, A., Álvarez, F. J., & Bahillo, A. (2018). A Smartphone-Based System for Outdoor Data Gathering Using a Wireless Beacon Network and GPS Data: From Cyber Spaces to Senseable Spaces. In ISPRS International Journal of Geo-Information (Vol. 7, Issue 5). https://doi.org/10.3390/ijgi7050190

Paolanti, M., Pietrini, R., Mancini, A., Frontoni, E., & Zingaretti, P. (2020). Deep understanding of shopper behaviours and interactions using RGB-D vision. Machine Vision and Applications, 31, 66. https://doi.org/10.1007/s00138-020-01118-w

Petrelli, D., Marshall, M., Not, E., Zancanaro, M., Venturini, A., Cavada, D., Kubitza, T., Schmidt, A., Risseeuw, M., & Van Dijk, D. (2016). mesch: Internet of things and cultural heritage. SCIRES-IT-SCIentific RESearch and Information Technology, 6(1), 15–22. http://dx.doi.org/10.2423/i22394303v6n1p15

Pierdicca, R., Marques-Pita, M., Paolanti, M., & Malinverni, E. (2019). IoT and Engagement in the Ubiquitous Museum. Sensors, 19, 1387. https://doi.org/10.3390/s19061387

Puma, P. (2016). The Digital Cultural Heritage-DigitCH Programme: experiences of documentation and survey for the smart fruition of archaeological heritage. SCIRES-IT-SCIentific RESearch and Information Technology, 6(2), 151–164. http://dx.doi.org/10.2423/i22394303v6n2p151

Quattrini, R., Pierdicca, R., Paolanti, M., Clini, P., Nespeca, R., & Frontoni, E. (2020). Digital interaction with 3D archaeological artefacts: evaluating user’s behaviours at different representation scales. Digital Applications in Archaeology and Cultural Heritage, 18, e00148. https://doi.org/10.1016/j.daach.2020.e00148

Yoshimura, Y., Girardin, F., Carrascal, J., Ratti, C., & Blat, J. (2012). New Tools for Studying Visitor Behaviours in Museums: A Case Study at the Louvre. https://doi.org/10.1007/978-3-7091-1142-0_34


Article Metrics

Metrics Loading ...

Metrics powered by PLOS ALM

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Renato Angeloni, Roberto Pierdicca, Adriano Mancini, Marina Paolanti, Andrea Tonelli

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

 

 

SCIRES-IT, e-ISSN 2239-4303

Journal founded by Virginia Valzano