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A mobile Augmented Reality application for visualizing and interacting with online data
Linnaeus University, Faculty of Technology, Department of Media Technology.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Augmented Reality (AR) technology has recently received a lot of attention for having lots of potential for uses in a variety of contexts. From an interaction perspective, an important factor is not only the usability of the applications, but also the engagement that these allow. Of particular interest is the possibility of allowing users to interact with data from online sources via an Augmented Reality interface.The main focus of this master thesis is to create a mobile AR application that allows visualization and interaction with online data. For this purpose a prototype was designed and implemented using the Unity game engine with C# and the Vuforia SDK on the front-end (mobile app) and NodeJS with MongoDB on the back-end (database server). The prototype was tested, and also deployed in a two week user study to evaluate a) how the system allowed the participants to explore available data, and b) how the use of the system affected the participants daily behaviour.The results indicate that the prototype was well received by the users. They enjoyed the experience not only due to the functionality of the system, but also given the opportunity for better involvement and completion of the given task (scheduling their lunch at the university campus restaurant) successfully.The outcomes of the thesis are a proposed architecture for a mobile AR system that allows users to interact in an engaging manner with online data, the developed prototype, and the initial testing and evaluation of the prototype in a specific use case.It is hoped that this work constructively contributes to the overall Augmented Reality field, especially regarding the development of mobile Augmented Reality applications.

Place, publisher, year, edition, pages
2017.
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:lnu:diva-66838OAI: oai:DiVA.org:lnu-66838DiVA: diva2:1120695
Subject / course
Media Technology
Educational program
Social Media and Web Technologies, Master Programme, 120 credits
Presentation
2017-06-30, D2272, Vaxjo, 11:00 (English)
Supervisors
Examiners
Available from: 2017-07-07 Created: 2017-07-06 Last updated: 2017-07-07Bibliographically approved

Open Access in DiVA

[5me11e-vt17]NuraneKuqi(12749 kB)7 downloads
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File name ATTACHMENT01.pdfFile size 12749 kBChecksum SHA-512
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Type attachmentMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf