Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons

This paper shows initial work on utilizing Bluetooth Low-Energy (BLE) beacons to uncover patterns in visitor paths and to determine the concentration of visitor attention within the Ateneo Art Gallery (AAG), the Philippines’ first museum of modern art. Participants carried phones instrumented with a...

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Main Authors: Casano, Jonathan D.L, Agapito, Jenilyn L, Moreno, Abigail S, Rodrigo, Ma. Mercedes T.
Format: text
Published: Archīum Ateneo 2020
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Online Access:https://archium.ateneo.edu/discs-faculty-pubs/308
https://link.springer.com/chapter/10.1007/978-3-030-50732-9_36?utm_source=Naver_Academic&utm_medium=referral&utm_content=null&utm_campaign=JRPC_2_SC_NaverAcademic
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Institution: Ateneo De Manila University
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spelling ph-ateneo-arc.discs-faculty-pubs-12912022-04-27T07:35:45Z Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons Casano, Jonathan D.L Agapito, Jenilyn L Moreno, Abigail S Rodrigo, Ma. Mercedes T. This paper shows initial work on utilizing Bluetooth Low-Energy (BLE) beacons to uncover patterns in visitor paths and to determine the concentration of visitor attention within the Ateneo Art Gallery (AAG), the Philippines’ first museum of modern art. Participants carried phones instrumented with an application that logged distance estimates from BLE beacons deployed around the museum. The logs were then analyzed to produce scarf plots that visually represent paths taken. The results show the potential of BLE beacons for indoor location tracking. Aggregated visualization of similar scarf plots showed four notable patterns that provide insights on the museum areas that draw attention. The assumed usual route (pattern1: Start at 1st floor, go to 2nd floor then visit 3rd floor) was confirmed and an uncommon visiting pattern was discovered (pattern 2: Start at 3rd floor, go to 2nd floor, then visit 1st floor). It was also found that some visitors do not get to explore the entire museum (pattern 3: Some visitors only went to the 1st and 2nd floors. Pattern 4: Some visitors only went to the 2nd and 3rd floors). These insights can be used to make decisions regarding exhibit arrangement or museum layout design. 2020-07-10T07:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/308 https://link.springer.com/chapter/10.1007/978-3-030-50732-9_36?utm_source=Naver_Academic&utm_medium=referral&utm_content=null&utm_campaign=JRPC_2_SC_NaverAcademic Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Museum visitorship BLE beacons Indoor location tracking Computer Sciences Databases and Information Systems Theory and Algorithms
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Museum visitorship
BLE beacons
Indoor location tracking
Computer Sciences
Databases and Information Systems
Theory and Algorithms
spellingShingle Museum visitorship
BLE beacons
Indoor location tracking
Computer Sciences
Databases and Information Systems
Theory and Algorithms
Casano, Jonathan D.L
Agapito, Jenilyn L
Moreno, Abigail S
Rodrigo, Ma. Mercedes T.
Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons
description This paper shows initial work on utilizing Bluetooth Low-Energy (BLE) beacons to uncover patterns in visitor paths and to determine the concentration of visitor attention within the Ateneo Art Gallery (AAG), the Philippines’ first museum of modern art. Participants carried phones instrumented with an application that logged distance estimates from BLE beacons deployed around the museum. The logs were then analyzed to produce scarf plots that visually represent paths taken. The results show the potential of BLE beacons for indoor location tracking. Aggregated visualization of similar scarf plots showed four notable patterns that provide insights on the museum areas that draw attention. The assumed usual route (pattern1: Start at 1st floor, go to 2nd floor then visit 3rd floor) was confirmed and an uncommon visiting pattern was discovered (pattern 2: Start at 3rd floor, go to 2nd floor, then visit 1st floor). It was also found that some visitors do not get to explore the entire museum (pattern 3: Some visitors only went to the 1st and 2nd floors. Pattern 4: Some visitors only went to the 2nd and 3rd floors). These insights can be used to make decisions regarding exhibit arrangement or museum layout design.
format text
author Casano, Jonathan D.L
Agapito, Jenilyn L
Moreno, Abigail S
Rodrigo, Ma. Mercedes T.
author_facet Casano, Jonathan D.L
Agapito, Jenilyn L
Moreno, Abigail S
Rodrigo, Ma. Mercedes T.
author_sort Casano, Jonathan D.L
title Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons
title_short Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons
title_full Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons
title_fullStr Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons
title_full_unstemmed Quantifying Museum Visitor Attention Using Bluetooth Proximity Beacons
title_sort quantifying museum visitor attention using bluetooth proximity beacons
publisher Archīum Ateneo
publishDate 2020
url https://archium.ateneo.edu/discs-faculty-pubs/308
https://link.springer.com/chapter/10.1007/978-3-030-50732-9_36?utm_source=Naver_Academic&utm_medium=referral&utm_content=null&utm_campaign=JRPC_2_SC_NaverAcademic
_version_ 1733052856539283456