Modeling eye movement indicative of expertise behavior is decisive in user evaluation.
However, it is indisputable that task semantics affect gaze behavior. We present a novel …

To this day, a variety of information has been obtained from human eye movements, which
holds an imense potential to understand and classify cognitive processes and states-eg …

Scanpath classification can offer insight into the visual strategies of groups such as experts
and novices. We propose to use random ferns in combination with saccade angle …

Scanpath classification is an area in eye tracking research with possible applications in
medicine, manufacturing as well as training systems for students in various domains. In this …

In this article, we describe a new feature for exploring eye movement data based on image-
based clustering. To reach this goal, visual attention is taken into account to compute a list of …

In this paper we describe an interactive and web-based visual analytics tool combining
linked visualization techniques and algorithmic approaches for exploring the hierarchical …

Eye tracking (ET) technology is increasingly utilized to quantify visual behavior in the study
of the development of domain-specific expertise. However, the identification and …

The annotation of gaze data concerning investigated areas of interest (AOIs) poses a time-
consuming step in the analysis procedure of eye tracking experiments. For data from mobile …

In this paper, we discuss and evaluate the advantages and disadvantages of several
techniques to visualize and analyze eye movement data tracked and recorded from public …

We present a novel, web-based visual eye-tracking analytics tool called Gazealytics. Our
open-source toolkit features a unified combination of gaze analytics features that support …