Usability of software is a crucial aspect of successful applications and could give one application a competitive
edge over another. Eye tracking is a popular approach to usability evaluation, but is time consuming and requires
expert analysis. This paper proposes a semi-automated process for identifying usability problems in applications
with a task-based focus, such as business applications, without the need for expert analysis. The approach is
demonstrated on the eye tracking data from a mobile procurement application involving 33 participants. With
the recent inclusion of built-in eye tracking hardware in mobile devices, the proposed approach introduces the
possibility of conducting remote, large-scale usability studies for improving user experience in mobile applications.