This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.

Displaying 1 - 1 of 1
Filtering by

Clear all filters

154372-Thumbnail Image.png
Description
Mobile data collection (MDC) applications have been growing in the last decade

especially in the field of education and research. Although many MDC applications are

available, almost all of them are tailor-made for a very specific task in a very specific

field (i.e. health, traffic, weather forecasts, …etc.). Since the main users of

Mobile data collection (MDC) applications have been growing in the last decade

especially in the field of education and research. Although many MDC applications are

available, almost all of them are tailor-made for a very specific task in a very specific

field (i.e. health, traffic, weather forecasts, …etc.). Since the main users of these apps are

researchers, physicians or generally data collectors, it can be extremely challenging for

them to make adjustments or modifications to these applications given that they have

limited or no technical background in coding. Another common issue with MDC

applications is that its functionalities are limited only to data collection and storing. Other

functionalities such as data visualizations, data sharing, data synchronization and/or data updating are rarely found in MDC apps.

This thesis tries to solve the problems mentioned above by adding the following

two enhancements: (a) the ability for data collectors to customize their own applications

based on the project they’re working on, (b) and introducing new tools that would help

manage the collected data. This will be achieved by creating a Java standalone

application where data collectors can use to design their own mobile apps in a userfriendly Graphical User Interface (GUI). Once the app has been completely designed

using the Java tool, a new iOS mobile application would be automatically generated

based on the user’s input. By using this tool, researchers now are able to create mobile

applications that are completely tailored to their needs, in addition to enjoying new

features such as visualize and analyze data, synchronize data to the remote database,

share data with other data collectors and update existing data.
ContributorsAl-Kaf, Zahra M (Author) / Lindquist, Timothy E (Thesis advisor) / Bansal, Srividya (Committee member) / Bansal, Ajay (Committee member) / Arizona State University (Publisher)
Created2016