An Approach to Developing Internet of Things (IoT) － Based Services for Smart Museums
DOI:
https://doi.org/10.55630/dipp.2019.9.9Keywords:
Museum Guide Systems, Visitors Profiling, Digital Heritage, IoTAbstract
The aim of each museum is to present its exhibits in a way that enhances the visitor experience, satisfaction and knowledge. This objective is difficult to achieve, especially in museums with a very large number of exhibits and visitors. One possible solution is to use the modern Internet and mobile technologies in order to implement a service for personalized information delivery. The content that is delivered to visitors should be consistent with their preferences and free time. The paper presents an Internet of Things (IoT) － based solution for delivering personalized content to museum visitors, which includes: (1) Mobile app for visitors and curators; (2) Sensor network; and (3) Edge Computing Gateway. The main advantages of this solution are the following: platform independent service thanks to its full-stack JavaScript architecture; the service allows visitors to use it in multiple museums, not just in a particular museum; the service does not require permanent Internet access to operate; ability to deliver personalized content during the movement of visitors along the exhibits; relatively low price of the service thanks to the used hardware and open source software. Preliminary experiments in simulated and real environments show that proposed solution can be successfully used to create personalized content delivery services in smart museums.References
Antoniou, A. K.-T. (2016). Capturing the visitor profile for a personalized mobile museum experience: An indirect approach. 24th ACM Conference on User Modeling, Adaptation and Personalisation. 1618 (pp. 1-10). Halifax, Canada: ACM.
Ardito, C. B. (2018). From smart objects to smart experiences: An end-user development approach. International Journal of Human Computer Studies, 114 , 51- 68.
Chianese, A. (2014). Designing a smart museum: When cultural heritage joins IoT. 8th International Conference on Next Generation Mobile Applications, Services and Technologies (pp. 300–306). IEEE.
GlobalStats. (2019). Mobile Operating System Market Share Worldwide . Retrieved from Mobile Operating System Market Share Worldwide: http://gs.statcounter.com/os-market-share/mobile/worldwide/#monthly-201805-
Hossain, A. M. (2015). A survey of calibration-free indoor positioning systems. Computer Communications, 66 , 1-13.
Ivanov, R. (2017). An Algorithm for Micro-localization in Large Public Buildings. 18th International Conference on Computer Systems and Technologies (pp. 119-126). ACM.
Kosmopoulos, D. (2018). A survey on developing personalized content services in museums. Pervasive and Mobile Computing, 47 , 54-77.
Lee, I. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4) , 431-440.
Lourve. (2019). The Louvre App. The Louvre museum . Retrieved from The Louvre App. The Louvre museum: https://www.louvre.fr/en/new-app
Perera, C. Z. (2014). Context aware computing for the internet of things: A survey. IEEE Communications Surveys and Tutorials, 16(1) , 414-454.
Pierdicca, R. M.-P. (2019). IoT and Engagement in the Ubiquitous Museum. Sensors , 1-21.
Sornalatha, K. (2017). IoT based smart museum using Bluetooth Low Energy. 3rd International Conference on Advances in Electrical and Electronics, Information, Communication and Bio-Informatics (pp. 520-523). IEEE.
