Experimental Dataset for Oculographic User Interface Research

The experimental dataset supports UI research based on video-oculography method, or eye tracking.

Oculography is a non-contact optical method for detecting eye
movement, based on the registration (using an optical sensor) of
infrared illumination reflected by the eye's pupil. This method finds
wide application in usability to assess the attractiveness
of fragments of the interface, search efficiency, ease of transition
between sections and other aspects of the interface design of a software
product.

We used an Eye Tracker device from Eye Tribe and OGAMA software ver. 5.0.5754 (http://www.ogama.net/).

During the experiment, five users independently solved the problem
of finding and obtaining information about the selected object on a
virtual map. This task implied the following steps:
- find and press the "Map" button (Slide0);

- find on the map and select a natural object called “Big Round Estuary” (Slide2);

- read all the information about this object and go to the main menu (Slide3).

Procedure for preparing and conducting the experiment: launch the
OGAMA application; calibrate the device taking into account the
individual characteristics of the user; record eye tracking while the
user completes the task of finding information on the
screen; stop recording.

The work was carried out in 2019 by Valery Grigoryev, graduate
student of the Southern Federal University as part of the dissertation
“User interface mobile guide application railway traveler”, supervised
by Assoc. Prof. Vitaly Kompaniets, Master's program
"Ergodesign user interface".

List of variables in the dataset:

SubjectName

SubjectCategory

Age

Sex

Handedness

Comments

TrialID

TrialName

TrialSequence

TrialCategory

TrialStartTime

Duration

EliminateData

EventEventID

EventSequence

EventTime

EventType

EventTask

EventParam

Time

PupilDiaX

PupilDiaY

GazePosX

GazePosY

MousePosX

MousePosY

EventID