Audience monitor:an open source tool for tracking audience mobility in front of pervasive displays

Elhart, Ivan and Mikusz, Mateusz Andrzej and Mora, Cristian Gomez and Langheinrich, Marc and Davies, Nigel Andrew Justin (2017) Audience monitor:an open source tool for tracking audience mobility in front of pervasive displays. In: PerDis '17 Proceedings of the 6th ACM International Symposium on Pervasive Displays. ACM, CHE. ISBN 9781450350457

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Abstract

Understanding an audience's behavior is an important aspect of evaluating display installations. In particular, it is important to understand how people move around in the vicinity of displays, including viewer transitions from noticing a display, through approach, to final use of the display. Despite the importance of measuring viewer mobility patterns, there are still relatively few low-cost tools that can be used with research display deployments to capture detailed spatial and temporal behavior of an audience. In this paper, we present an approach to audience monitoring that uses an off-the-shelf depth sensor and open source computer vision algorithms to monitor the space in front of a digital display, tracking presence and movements of both passers-by and display users. We believe that our approach can help display researchers evaluate their public display deployments and improve the level of quantitative data underpinning our field.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in PerDis '17 Proceedings of the 6th ACM International Symposium on Pervasive Displays http://dx.doi.org/10.1145/3078810.3078823
ID Code:
86368
Deposited By:
Deposited On:
22 May 2017 12:30
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Mar 2020 00:30