Media sharing across public display networks

By Jos\'e, R.; Cardoso, J.C.; Hong, J.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)



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.



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