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V9 N1 Paper 7
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Annals of the MS in Computer Science and Information Systems at
UNC Wilmington
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Spring 2015
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A Research Survey Application Using Eye Tracking Technology
Richard Mautz
Committee
Abstract
Historically, eye tracking equipment has been expensive and not accessible to the general public
(researchers). Up until the present, eye tracking systems would commonly range anywhere from
approximately $1,500 (Gazepoint, 2015) to as much as $19,000 (Arrington Research, 2015). These older systems include both the hardware and software, and come in a variety of types (e.g. mobile compatible, desktop systems, headsets) With the availability of new eye tracking equipment on the market (e.g. EyeTribe), researchers now have the opportunity to implement eye tracking within their studies. Newer equipment can be dramatically less expensive, yet have many of the same capabilities as more expensive systems. For example, the $99 EyeTribe tracker has the same sampling frequency, accuracy, and mobile capabilities as the $1,500 Gazepoint tracker. However, the challenge presented to researchers is that most inexpensive eye tracking are not meant for research purposes. An SDK is often provided with these trackers but the limited software provided does not have the capacity to design an application to meet researcher needs. This project is to examine the usefulness of these eye tracking systems in a research environment and understand if these newly available technologies can meet the needs of researchers. The purpose of the capstone is to construct an application for conducting academic research using an eye tracker.
In the following sections, an overview of the technology is provided to understand the evolution of eye tracking. Next, an overview of the benefits eye tracking research can provide over traditional research tools (i.e. surveys) is discussed including how eye tracking technologies work and the output they provide. Finally, an overview of the application being developed is discussed including the features in the application, guidelines for setting up eye tracking studies and an explanation of the progress toward completion of the tool. A timeline of tasks to be completed is included at the end of this proposal.
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Recommended Citation:
Mautz, R., Cummings, J, Reinicke, B., Ricanek, K. (2015) A Research Survey Application Using Eye Tracking Technology. Annals of the Master of Science in Computer Science and Information Systems at UNC Wilmington, 9(1) paper 7. http://csbapp.uncw.edu/data/mscsis/full.aspx.
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V9 N1 Paper 7
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Annals of the MS in Computer Science and Information Systems at
UNC Wilmington
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Spring 2015
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