Volume 43, Issue 1, June 2019, Pages 41–50
Fang-Yi SU1
1 National Science and Technology Museum, Kaohsiung, Taiwan
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The National Science and Technology Museum creates an “Online to Onsite visitor behavior system”(OOVBS) into ”Explore IoT Exhibition”. The system is installed in all interactive units, through app, beacon technology and program for capturing personal experience during a museum visit. Besides, we adopted Stephen Bitgood’s behavior observation scale: the degree of involvement, the state of operations, the degree of reading, and the content of discussion into this interactive unit as criteria for evaluation. We will be able to retrieve visitors’ data that included basic information, comments and feedback, as well as comprehensive performance of visitor behavior via this system, by starting and operating interactive units with the corresponding identifiers of the applications demonstrated at the exhibition that they download. This article presents an “online to onsite” exhibition mode of intelligent museum to access learning behavior of visitors and build data analysis.Through the actual implementation of a visitor database for the exhibition, audiences’ visiting behavior and learning mode can be documented and evaluated. If the concept of a ‘museum group’ system can be developed in the future to integrate all museum audiences’ information, it will have an impact on the museum’s exhibitions, education, and operations.
Author Keywords: Internet of Things (IoT), Beacon, Museum exhibition.
Fang-Yi SU1
1 National Science and Technology Museum, Kaohsiung, Taiwan
Original language: English
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The National Science and Technology Museum creates an “Online to Onsite visitor behavior system”(OOVBS) into ”Explore IoT Exhibition”. The system is installed in all interactive units, through app, beacon technology and program for capturing personal experience during a museum visit. Besides, we adopted Stephen Bitgood’s behavior observation scale: the degree of involvement, the state of operations, the degree of reading, and the content of discussion into this interactive unit as criteria for evaluation. We will be able to retrieve visitors’ data that included basic information, comments and feedback, as well as comprehensive performance of visitor behavior via this system, by starting and operating interactive units with the corresponding identifiers of the applications demonstrated at the exhibition that they download. This article presents an “online to onsite” exhibition mode of intelligent museum to access learning behavior of visitors and build data analysis.Through the actual implementation of a visitor database for the exhibition, audiences’ visiting behavior and learning mode can be documented and evaluated. If the concept of a ‘museum group’ system can be developed in the future to integrate all museum audiences’ information, it will have an impact on the museum’s exhibitions, education, and operations.
Author Keywords: Internet of Things (IoT), Beacon, Museum exhibition.
How to Cite this Article
Fang-Yi SU, “Online to Onsite: A Case Study of Information System for Capturing Museum Visits,” International Journal of Innovation and Scientific Research, vol. 43, no. 1, pp. 41–50, June 2019.
