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    Rights statement: © 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/10.1145/3078810.3078830

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Design Considerations for Multi-Stakeholder Display Analytics

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date7/06/2017
Host publicationPerDis '17 Proceedings of the 6th ACM International Symposium on Pervasive Displays
Place of PublicationNew York
PublisherACM
Number of pages10
ISBN (print)9781450350457
<mark>Original language</mark>English
EventThe 6th ACM International Symposium on Pervasive Displays - Lugano, Switzerland
Duration: 7/06/20179/06/2017
Conference number: 6TH
http://pervasivedisplays.org/2017/

Conference

ConferenceThe 6th ACM International Symposium on Pervasive Displays
Abbreviated titlePerDis '17
Country/TerritorySwitzerland
CityLugano
Period7/06/179/06/17
Internet address

Conference

ConferenceThe 6th ACM International Symposium on Pervasive Displays
Abbreviated titlePerDis '17
Country/TerritorySwitzerland
CityLugano
Period7/06/179/06/17
Internet address

Abstract

Measuring viewer interactions through detailed analytics will be crucial to improving the overall performance of future open display networks. However, in contrast to traditional sign and web analytics systems, such display networks are likely to feature multiple stakeholders each with the ability to collect a subset of the required analytics information. Combining analytics data from multiple stakeholders could lead to new insights, but stakeholders may have limited willingness to share information due to privacy concerns or commercial sensitivities. In this paper, we provide a comprehensive overview of analytics data that might be captured by different stakeholders in a display network, make the case for the synthesis of analytics data in such display networks, present design considerations for future architectures designed to enable the sharing of display analytics information, and offer an example of how such systems might be implemented.

Bibliographic note

© 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/10.1145/3078810.3078830