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dc.contributor.authorBaur, Dominikusen_US
dc.contributor.authorButz, Andreasen_US
dc.contributor.authorCarpendale, Sheelaghen_US
dc.contributor.editorMiriah Meyer and Tino Weinkaufsen_US
dc.date.accessioned2013-11-08T10:22:38Z
dc.date.available2013-11-08T10:22:38Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905673-91-3en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE/EuroVisShort/EuroVisShort2012/109-113en_US
dc.description.abstractVisualizations usually completely capture our attention or disappear into the ambient background. In this paper we explore a middle ground, with visualizations that are not constantly in the center of attention and support a main conversational task without distracting from it. Such backdrop visualizations work for look-up and analytical tasks without getting in the way of the conversation, but can also be used actively. To illustrate this concept we describe arcs.fm, a case study for music talk, as an exemplary backdrop visualization. Music fulfills an important function for identity construction: we define ourselves by what music we listen to and we like to compare our musical taste with friends and family. The shift towards digital music allows us to meticulously keep track of all songs we have listened to and to have access to this data to augment our memories. Here we explore integrating visualizations of automatically collected listening histories with the explanations and discussion that develop in personal music talk. arcs.fm is a visualization system that supports this music talk by comparing two listening histories visually. arcs.fm stays in the background while enabling look-up and enriching peoples' conversation when needed.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): H.5.2 [Information Interfaces and Presentation]: User Interfaces—Graphical User Interfaces (GUI)en_US
dc.titlearcs.fm - A Backdrop Visualization for Music Talken_US
dc.description.seriesinformationEuroVis - Short Papersen_US


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