|
|
|
|
| Bachelorprojekt - Softwareteknologi | Project No. 0224: Evaluating Software Artifacts Using Eye Tracking |
| Aktuelle | Tidligere |
Eye tracking as a research tool has been successfully used in different disciplines. The gaze data collected from eye tracking devices can be analyzed using a wide spectrum of techniques ranging from visual techniques to statistical techniques. The visual techniques comprise a set of meaningful visual representations such as attention maps and scan-paths, while, the statistical techniques include hundreds of measures that can be inferred from the eye tracking data.
Eye tracking provides compelling usability insights and allows perceiving the human behavior while interacting with software artifacts. This bachelor project aims at deploying eye tracking techniques to evaluate the usability and the understandability of a new case management system developed to assist case-workers to handle citizens¹ requests.
This project consists of designing and conducting an empirical study with case-workers with from a Danish municipality. During the project, the student will get the chance to familiarize with existing eye tracking analysis techniques and explore new state-of-art techniques (developed by the SPE section).
| Prerequisites: | A background in computer programing/ software engineering is required to process, visualize and analyze eye tracking data. A basic knowledge in Java or Python is recommende |
Supervisor(s) Barbara Weber and Andrea Burratin
| Sidst opdateret: Nov 6, 2020 af Hans Henrik Løvengreen |