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