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26883 Leveraging Proximity Sensing to Mine the Behavior of Museum Visitors
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Martella, C. and Miraglia, A. and Cattani, M. and van Steen, M. (2016) Leveraging Proximity Sensing to Mine the Behavior of Museum Visitors. In: Proceedings of the IEEE International Conference on Pervasive Computing and Communication (PerCom 2016), 14-18 March 2016, Sydney, Australia. 9. IEEE Computer Society. ISBN 978-1-4673-8779-8

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Face-to-face proximity has been successfully leveraged to study the relationships between individuals in various contexts, from a working place, to a conference, a museum, a fair, and a date. We spend time facing the individuals with whom we chat, discuss, work, and play. However, face-to-face proximity is not the realm of solely person-to-person relationships, but it can be used as a proxy to study person-to-object relationships as well. We face the objects we interact with on a daily basis, like a television, the kitchen appliances, a book, including more complex objects like a stage where a concert is taking place. In this paper, we focus on the relationship between the visitors of an art exhibition and its exhibits. We design, implement, and deploy a sensing infrastructure based on inexpensive mobile proximity sensors and a filtering pipeline that we use to measure face-to-face proximity between individuals and exhibits. We use this data to mine the behavior of the visitors and show that group behavior can be recognized by means of data clustering

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-General
Research Project:COMMIT/EWIDS: Very large wireless sensor networks for well-being
ID Code:26883
Deposited On:17 March 2016
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