Paper Info
Title
Audience monitor: an open source tool for tracking audience mobility in front of pervasive displays
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.
Year
DOI
Venue
2017
10.1145/3078810.3078823
PerDis
Keywords
Field
DocType
Public Displays, Display Deployments, Display Evaluation, Audience Monitoring
Computer science,Display device,Computer vision algorithms,Human–computer interaction,Multimedia,Underpinning,Public displays
Conference
ISBN
Citations 
PageRank 
978-1-4503-5045-7
1
0.40
References 
Authors
21
5
Name
Order
Citations
PageRank
Ivan Elhart125219.02
Mateusz Mikusz2339.84
Cristian Gomez Mora310.40
Marc Langheinrich41774203.16
Nigel Davies56143560.89