Topic Space: Rapid Prototyping a Mobile Augmented Reality Recommendation App

Hahn, James F.; Ryckman, Benjamin; Lux, Maria

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https://hdl.handle.net/2142/88351 Copy

Description

Title

Topic Space: Rapid Prototyping a Mobile Augmented Reality Recommendation App

Author(s)

• Hahn, James F.
• Ryckman, Benjamin
• Lux, Maria

Issue Date

2015-10-20

Keyword(s)

• Augmented Reality
• Mobile App
• Optical Character Recognition
• Computer Vision
• recommender systems
• location-based recommnder

Abstract

With funding from an Institute of Museum and Library Services (IMLS) Sparks! Ignition Grant, researchers from the University of Illinois Library designed and tested a mobile recommender app with augmented reality features. By embedding open source optical character recognition software into a “Topic Space” module, the augmented reality app can recognize call numbers on a book in the library and suggest relevant items that are not shelved nearby. Topic Space can also show users items that are normally shelved in the starting location but that are currently checked out. Using formative UX methods, grant staff shaped app interface and functionality through early user testing. This paper reports results of UX testing; a redesigned mobile interface, and provides considerations on the future development of personalized recommendation functionality.

Publisher

Code4Lib

Type of Resource

text

Language

en

Permalink

• http://journal.code4lib.org/articles/10881
• http://hdl.handle.net/2142/88351

Sponsor(s)/Grant Number(s)

IMLS A0279

Copyright and License Information

This work is licensed under a Creative Commons Attribution 3.0 United States License.

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