Transcript Microsoft PowerPoint 2007

Topic Space: a mobile
augmented reality
recommendation app
Jim Hahn and Ben Ryckman
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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Modular APIs
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Webservice for Android and web
apps
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Download Minrva app from Google
Play and select Undergrad
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Native App
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Native App
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Native App
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Native App
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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 app
We 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 Results
Students 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 Results
In 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 Results
Students 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 Results
The 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 Results
As 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
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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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Revisions: Cont.
• Simplified
Design
• Input
Improvements
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Revisions: Cont.
• Simplified
Design
• Improved
Result Set
• Book Info
and Request
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Revisions: Cont.
• Easy to interpret
mapping
• Pinch Zoom
Functionality
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Next Steps
• Include Functionality for Dewey
Call Numbers
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Next Steps: Cont.
• Add Compatibility to Use Topic
Space in Additional Libraries
• Incorporate Cross-Library
Results
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Next Steps: Cross-Library Results
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