Media sharing across public display networks

Rui José, Jorge C.S. Cardoso, Jason Hong

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review



In this work, we consider the scenario of an open display network in which people can post their content to a potentially large set of public displays. This raises the key challenge of how to associate that content with the displays that may provide a more meaningful context for its presentation. The main contribution of this work is a novel understanding of how different properties of the media sharing scenarios may impact their perceived value. We have conceived 24 media sharing scenarios that represent different combinations of three independent variables: content locativeness, the personal nature of content and the scope in which content is being shared. We then invited 100 participants to express their perception of the appropriateness of those scenarios. The results indicate a clear preference for content that is both personal and locative, something that is in strike contrast with the prevailing content on current digital signage networks.
Original languageEnglish
Title of host publicationUbiquitous computing and ambient intelligence
Subtitle of host publicationpersonalisation and user adapted services - 8th International Conference, UCAmI 2014, Proceedings
EditorsRamón Hervás, José Bravo, Sungyoung Lee, Chris Nugent
Place of PublicationCham
PublisherSpringer Verlag
Number of pages8
ISBN (Electronic)9783319131023
ISBN (Print)9783319131016
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


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