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Accuracy Threshold

Accuracy threshold defines the accuracy that participants must achieve when performing their session. The accuracy is calculated at the end of the calibration step. Participants will see a circle getting smaller over 10 seconds at the end of the calibration. The average value from the gaze points collected during this period to the center of the screen, corresponds to the accuracy value. If the accuracy value is below the accuracy threshold, the participant can continue with their session. Otherwise, the participant receives a notification to repeat the calibration under better conditions. This ensures a certain quality of the collected data.

Change Snapshot

Overwrite settings in an existing snapshot if you just want to change it instead of creating a new snapshot.

Create Snapshot

Save your current settings on the results page as a snapshot to quickly restore them at a later time.

Density Plot

Density plots (also known as Heatmap) indicate the density of the selected gaze points using colors. The color coding ranges from blue (few data points) to green (some data points) to red (many data points).

Export raw data

Export raw recording data for further processing in other tools.

Gaze Events

Our eyetracking software if able to classify fixations and saccades. A fixation is a gaze event in which the eye does not move and is fixated on a single point. Saccades, on the other hand, are the gaze event in which the eye moves from one point to another.


Hexagonal binning is useful for aggregating data into a coarser representation for display. For example, rather than rendering a scatterplot of tens of thousands of points, bin the points into a few hundred hexagons to show the distribution.


Layers can be used to display and evaluate the various visualizations of the recordings. For more extensive comparisons and analysis, several layers can be activated simultaneously.

Recording frequency

During the study, our eyetracking software records the locations and timestamps of each gaze point. However, this does not inform us about how fast the software is able to process the incoming gaze data for each participant. Recording frequency shows this missing information. It is calculated as the reciprocal of the average session duration (per stimulus). Average recording frequency is the mean of the recording frequency of all sessions (in a study). The measuring unit is in Hz. Larger average recording frequency numbers indicate more data recorded for the given session (or averaged over a study). The minimum frequency value is 0 Hz and the maximum value is 100Hz. If the average of the frequency is lower than 5Hz, we suggest our users redo the study.

Restore snapshot

Load a previously saved snapshot to restore the settings it contains.

Scatter Plot

The dot plot shows all selected data points at their location without time order.

Select layers

Choose from different visualization types for the recorded data by enabling and disabling layers.

Session Replay

The data recorded in a session can be replayed by means of the Session Replay in order to be able to evaluate them based on time.


The settings set on the results page can be saved in snapshots to be able to restore them more quickly at a later time. Selected sessions, layers and the active stim are saved.


A stimulus is any visual element that stimulates eye movements. In Adsata's context, a stimulus can be an image or a webpage.

Stim display zoom

You can maintain an overview or view details more closely by zooming in the Stim.

Stim View

The Stim display is the central component of the results page. Here, all stims of a study are displayed in the overview as well as individually in detail. The detailed display forms the basis for all visualizations that can be set via the results page.

Study Quality Index

Study quality index is a numerical value that describes the quality of a study's eyetracking data. It has the minimum value of 0 and maximum value of 100. The larger the index value, the better the study quality. The study quality index is based on calculations that indetify poor data in each session (for each stimulus). The more poor data a session contains, the lower the study quality.