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For the analysis of eye movement data, an increasing number of analysis methods have emerged to examine and analyze different aspects of the data. In particular, due to the complex spatio-temporal nature of gaze data for dynamic stimuli, there has been a need and recent trend toward the development of visualization and visual analytics techniques for such(More)
We introduce a visual analytics method to analyze eye movement data recorded for dynamic stimuli such as video or animated graphics. The focus lies on the analysis of data of several viewers to identify trends in the general viewing behavior, including time sequences of attentional synchrony and objects with strong attentional focus. By using a space-time(More)
We introduce a new design for the visual analysis of eye tracking data recorded from dynamic stimuli such as video. ISeeCube includes multiple coordinated views to support different aspects of various analysis tasks. It combines methods for the spatiotemporal analysis of gaze data recorded from unlabeled videos as well as the possibility to annotate and(More)
We evaluate and compare video visualization techniques based on fast-forward. A controlled laboratory user study (n = 24) was conducted to determine the trade-off between support of object identification and motion perception, two properties that have to be considered when choosing a particular fast-forward visualization. We compare four different(More)
Public transport maps are used as visual aid for travellers to support the route finding task from a start to a destination. Although those maps are designed in a user-friendly manner by applying effective layouts, color codings, as well as intuitive symbolic representations it is unclear which perceptual, readability, and understandability problems the(More)
The application of eye tracking for the evaluation of humans' viewing behavior is a common approach in psychological research. So far, the use of this technique for the evaluation of visual analytics and visualization is less prominent. We investigate recent scientific publications from the main visualization and visual analytics conferences and journals(More)
We present a new visualization approach for displaying eye tracking data from multiple participants. We aim to show the spatio-temporal data of the gaze points in the context of the underlying image or video stimulus without occlusion. Our technique, denoted as gaze stripes, does not require the explicit definition of areas of interest but directly uses the(More)