UniCast, OutCast & GroupCast: Three Steps Toward Ubiquitous, Peripheral Displays
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Proceedings of the first workshop on Online social networks
ReflectiveSigns: Digital Signs That Adapt to Audience Attention
Pervasive '09 Proceedings of the 7th International Conference on Pervasive Computing
Face detection and tracking in video sequences using the modifiedcensus transformation
Image and Vision Computing
Situated public news and reminder displays
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
Twitterspace: a co-developed display using Twitter to enhance community awareness
Proceedings of the Tenth Anniversary Conference on Participatory Design 2008
Reflections on the long-term use of an experimental digital signage system
Proceedings of the 13th international conference on Ubiquitous computing
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In this paper we present TwitterSigns, an approach to display microblogs on public displays. Two different kinds of microblog entries (tweets) are selected for display: Tweets that were posted in the immediate environment of the display, and tweets that were posted by people associated with the location where the displays are installed (locals). The prototype was tested in a university setting on 4 displays for 4 weeks and compared to the information system that is usually running on the displays (iDisplays). Using face detection we show that people look significantly longer at TwitterSigns than at iDisplays. Interviews show that the relationship of viewer and poster as well as the tweet content are much more important than time and location of the tweet. Viewers recall and recognize mostly tweets from people they know, and of apparent importance for themselves (like a apparent bomb found in the city center). Furthermore, TwitterSigns change the way people use twitter (e.g. they feel more responsible for what they tweet). Passers-by seem only to look for keywords and only stop and read the whole tweet if they found some interesting keyword.