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Title:Topic Space: Rapid Prototyping a Mobile Augmented Reality Recommendation App
Author(s):Hahn, James F.; Ryckman, Benjamin; Lux, Maria
Subject(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.
Issue Date:2015-10-20
Citation Info:Hahn, J., Ryckman, B., Lux, M. (2015). Topic space: rapid prototyping a mobile augmented reality recommendation app. Code4Lib Journal, 30.
Sponsor:IMLS A0279
Rights Information:This work is licensed under a Creative Commons Attribution 3.0 United States License.
Date Available in IDEALS:2015-10-20

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