Methods for Applied Mobile Digital Library Research: A Framework for Extensible Wayfinding Systems

Hahn, Jim; Twidale, Michael B.; Gutierrez, Alejandro; Farivar, Reza

doi:10.1080/02763877.2011.527600

Cited by 17 publications

(11 citation statements)

References 10 publications

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“…Such a system is already in use at the University of Oulu in Finland, and a similar study has recently been conducted at the University of Illinois. 8 Many libraries are currently exploring the possibilities of QR (Quick Response) codes. QR codes are two-dimensional barcodes designed to be read by scanners on mobile devices; they can store more information than a traditional barcode.…”

Section: Literature Reviewmentioning

confidence: 99%

Where Do We Go from Here? Informing Academic Library Staffing through Reference Transaction Analysis

Bishop¹,

Bartlett

2013

CRL

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This study conducted a systematic sample of every 70th reference transaction from over a three-year period and analyzed 1,852 reference transactions asked at an academic library system's fifteen face-to-face (f2f) service points as well as via telephone, e-mail, and chat. Findings indicate two-thirds of the total questions asked were location-based questions about the library. Also, 80.2 percent of location-based questions and 77.2 percent of subject-based questions were asked f2f. Analysis of location-based reference questions informs effective deployment of librarians and staff at library service points as well as the development of mobile library apps.iven the ever-present challenges to staffing reference with declining budgets in the academic environment, coordinating the provision of information services requires using the right mix of librarians, library staff, and information technology. In 2010, 62.7 percent of undergraduate students owned Internetcapable handheld devices. 1 With the rapid adoption of mobile technologies and advances in all digital resources, librarians and staff may now provide answers to user questions wherever those questions arise. The main benefit of "anyplace" information services is that the distance between users and librarians matters less for service provision. However, where the information gap occurs for the user and where the librarian is located to help answer questions still matters. 2 When considering optimal staffing of academic libraries with limited resources, an analysis of the places where questions are asked provides valuable data to library managers facing tough staffing choices.The problem this study addresses is that academic libraries must provide reference services to their students, faculty, staff, and community users in a timely, efficient manner with limited human resources. At the academic library system used in this study, only 56.7 percent of the transactions captured the patron type, crl-365

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Section: Literature Reviewmentioning

confidence: 99%

Where Do We Go from Here? Informing Academic Library Staffing through Reference Transaction Analysis

Bishop¹,

Bartlett

2013

CRL

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“…For such a new area of service delivery to be successful and used by students, it must be informed by a basic understanding of what students really need while searching for books. 7 Such a system should respond to the ways in which students actually find items on shelves. This research uncovers requirements for future mobile wayfinding applications.…”

Section: First-year Undergraduate Students Frequently Encounter Navigmentioning

confidence: 99%

How First-Year Students Navigate the Stacks

Hahn¹,

Zitron²

2011

Reference &Amp; User Services Quarterly

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“…Mobile robots [3], [4] which are both autonomous and capable to detect and react to environmental factors have recently attracted the attention of libraries. Some libraries have introduced mobile robots and use them to guide student users towards the adequate shelf [5], [6]. However, there are only a few cases in which educational research has addressed the field of service robot applications [7]- [9] designed for use in libraries.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Object Detection and Recognition System Using OpenCV via SURF Algorithm in Emgu CV for Robotic Handling in Libraries

Pop¹,

Mogan²,

Boboc³

2017

IJMO

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Abstract-This paper describes an experimental system that has been designed, implemented and tested for object recognition and tracking in still, respectively dynamic imagessuccessive video frames captured in real time (live) with a web camera -based on Intel's open source computer vision functions library, OpenCV (Open Source Computer Vision). We propose a real-time object recognition system in intelligent library environments. The system consists of two key modules: feature extraction and object recognition. Specific detectors such as SIFT (Scale-Invariant Feature Transform) and SURF (Speeded Up Feature Robust) are efficient methods that provide high quality features, yet are too computational for use in real-time applications.This paper also proposes a low complexity, robust object recognition and tracking method using advanced real time feature matching. It combines Microsoft Visual Studio 2008 Express Edition C# with OpenCV Function library using SURF algorithm in Emgu CV to develop the software. The tests showed that the proposed system and method are more efficient and more robust than in most traditional applications.Index Terms-Computer vision, object recognition, object tracking, OpenCV, SURF. I. INTRODUCTIONResearch in the field of library automation is characterized by a long history of robot assistance applications such as book cataloguing, retrieval and return [1], [2]. The studies focused on solving the technical problems at fixed locations in the library. Mobile robots [3], [4] which are both autonomous and capable to detect and react to environmental factors have recently attracted the attention of libraries. Some libraries have introduced mobile robots and use them to guide student users towards the adequate shelf [5], [6]. However, there are only a few cases in which educational research has addressed the field of service robot applications [7]-[9] designed for use in libraries. These studies have emphasized the general trend which regards robots as adequate agents to ensure user guidance and involvement in learning activities.References vision due to its numerous applications.Object recognition and tracking are major tasks in several computer vision applications, such as Augmented Reality (AR), interactive systems and robotic systems.Some of the main advantages of vision systems, in robotic applications, are the simplicity of the algorithm, the low cost, and the reduced need for maintenance, while aspects such as fast and effective identification are still unsolved. Even though adequately efficient and accurate algorithms have been developed, the processing speed still fails to meet the modern manufacturing requirements [18].Most of the objects tracking approaches based on feature matching are highly computational and less robust in various environments. To efficiently track an object in a video sequence, at first, feature points are extracted from the object of interest. The extracted objects then recognize the target object, and the detected object is continuously tracked on the input stre...

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Methods for Applied Mobile Digital Library Research: A Framework for Extensible Wayfinding Systems

Cited by 17 publications

References 10 publications

Where Do We Go from Here? Informing Academic Library Staffing through Reference Transaction Analysis

Where Do We Go from Here? Informing Academic Library Staffing through Reference Transaction Analysis

How First-Year Students Navigate the Stacks

Real-Time Object Detection and Recognition System Using OpenCV via SURF Algorithm in Emgu CV for Robotic Handling in Libraries

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