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Visual Contextualization Of Library Data: Designing An Augmented Reality App

Authors: Stephan Büttner; Linda Treude; Sabine Wolf;

Visual Contextualization Of Library Data: Designing An Augmented Reality App

Abstract

The role of libraries changed tremendously in the digital age. Search engine technology and full text availability now define the standards for information research. Libraries as knowledge providers have to face the challenges of the new technologies. Our poster contribution takes the example of Augmented Reality (AR) to show a way to use the potential of digital technology for library services. AR offers new possibilities to contextualize library data. Hence the transfer of knowledge can be enriched by virtual information and visualization. In our poster we introduce the project mylibrARy and the status quo of the conceptual process of designing a library AR-app. mylibrARy is a cooperation project between the University of Applied Sciences in Potsdam, a public library in Berlin and metaio GmbH. By providing mobile access to enriched library data the institution is able to stay in touch with users or even generate new users with a high affinity for digital technology. According to the result of our first of four user studies especially the integration of social media and social reading functions plays a crucial role in reaching that aim. Beside the connection to the local library knowledge organization system in the app we plan to integrate further features for the semantic contextualization such as the Wikipedia categories.

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Keywords

Augmented Reality, Usability, App, Visualization

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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