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Outline• Funded by IMLS• Prototype Functionality– Native app (Android)– Web app (backbone.js)
• User Study Results• Interface Revision, new functionality
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IMLS Grant Funding• Sparks Grant 2012-2014• The augmented reality functionality explored
in this grant utilized optical character recognition (OCR) software embedded into a native Android app.
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Functionality• It allows users to take a picture of a library call
number on a book in the Undergraduate Library book stacks, which then provides recommendations based on the subject area of the call number.
• The app can show users books that are normally shelved in the starting location but that are currently checked out.
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Web app• Repurposed use of recommender webservice– The recommender references the current item the
student is viewing
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User Study of Android appWe collected formative evaluation of what students liked about the app, what they found confusing, and if they felt the app would be worthwhile to develop.
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User Study ResultsStudents went through the bookstacks to go near subject areas where they had courses or to find books that they had previously read, since they wanted to use the app to find other related books that were similar to those they had enjoyed in the past.
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User Study ResultsIn our debriefing interviews we learned that some students would make use of the recommendation features and other topic areas that the app suggested.
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User Study ResultsStudents increasingly expect their digital experiences to be similar to those of Google. For example, students expected that the app would show them the location of the phone as it moves through the bookstacks; similar in nature to Google maps functionality. This type of indoor positioning is feasible to prototype
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User Study ResultsThe biggest hurdle for students in utilizing this app was their expectations for the camera phone; students expected the OCR process to be instant. In practice, we found that the app takes a few seconds to focus and then send then string of captured text to the web server; the web server then takes an additional couple seconds.
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User Study ResultsAs a result in our revision we looked to replace the input mechanism, moving toward more instant scanning with a barcode scan input, which is much faster, and provides more reliable metadata over which to suggest items.
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Revisions:New Interface, New Functionality
• User Friendly Design• Easier and More Efficient Input• Superior Suggestion Result Sets• Supplemental Book Information• Easily Request Materials• Easier to Read Mapping Functionality
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Next Steps: Cont.• Add Compatibility to Use Topic
Space in Additional Libraries• Incorporate Cross-Library
Results
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