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Statements

Subject Item
n2:RIV%2F61989592%3A15310%2F14%3A33151942%21RIV15-MSM-15310___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
Eye-tracking technology was not fully utilized in the cartography or geosciences yet. With its use, ways of users reading of maps can be revealed, and maps can be optimized. Before eye-tracking evaluation, it is necessary to detect eye-movements like fixations and saccades. Paper deals with the evaluation of four different settings of the dispersion-based algorithm for optimal fixation detection for evaluation of maps. Data for the case study originated from the cartographic studies, where stimuli displayed the classical orthogonal maps and their 3D (perspective) equivalents. The paper describes the basics of eye movement recordings, its history and used methods. An emphasis is placed on the remote methods, which uses digital images of the front of the eye. Image recognition methods are used for detecting the position of the eye. From these data, fixations and saccades are calculated. Number of a detection algorithm exists. For the data recorded with a sampling frequency lower than 250Hz, IDT is mostly used. It is essential to find out the best settings of this algorithm. In the case study, three existing threshold settings were compared with the new one. Calculated fixations were compared with the plot of raw data, and the most relevant settings were chosen. For eye-movement analysis, it is possible to use software from the manufacturer, but there exist also the open-source alternative. Software OGAMA is fully sufficient for data analyses, but fixation detection thresholds are entered in a different way. Paper also describes the optimal fixation detection settings in this software. As a result, the fixation detection thresholds for I-DT which represents the recorded data at the best were created. Subsequently, the most corresponding settings were chosen in the open-source software for gaze analyses. The optimal eye fixation detection settings can be used in other cartographic studies using eye-tracking as the main evaluation method. Eye-tracking technology was not fully utilized in the cartography or geosciences yet. With its use, ways of users reading of maps can be revealed, and maps can be optimized. Before eye-tracking evaluation, it is necessary to detect eye-movements like fixations and saccades. Paper deals with the evaluation of four different settings of the dispersion-based algorithm for optimal fixation detection for evaluation of maps. Data for the case study originated from the cartographic studies, where stimuli displayed the classical orthogonal maps and their 3D (perspective) equivalents. The paper describes the basics of eye movement recordings, its history and used methods. An emphasis is placed on the remote methods, which uses digital images of the front of the eye. Image recognition methods are used for detecting the position of the eye. From these data, fixations and saccades are calculated. Number of a detection algorithm exists. For the data recorded with a sampling frequency lower than 250Hz, IDT is mostly used. It is essential to find out the best settings of this algorithm. In the case study, three existing threshold settings were compared with the new one. Calculated fixations were compared with the plot of raw data, and the most relevant settings were chosen. For eye-movement analysis, it is possible to use software from the manufacturer, but there exist also the open-source alternative. Software OGAMA is fully sufficient for data analyses, but fixation detection thresholds are entered in a different way. Paper also describes the optimal fixation detection settings in this software. As a result, the fixation detection thresholds for I-DT which represents the recorded data at the best were created. Subsequently, the most corresponding settings were chosen in the open-source software for gaze analyses. The optimal eye fixation detection settings can be used in other cartographic studies using eye-tracking as the main evaluation method.
dcterms:title
Optimal eye fixation detection settings for cartographic purposes Optimal eye fixation detection settings for cartographic purposes
skos:prefLabel
Optimal eye fixation detection settings for cartographic purposes Optimal eye fixation detection settings for cartographic purposes
skos:notation
RIV/61989592:15310/14:33151942!RIV15-MSM-15310___
n6:aktivita
n10:S n10:P
n6:aktivity
P(EE2.3.20.0170), S
n6:dodaniDat
n9:2015
n6:domaciTvurceVysledku
n17:6078575
n6:druhVysledku
n15:D
n6:duvernostUdaju
n21:S
n6:entitaPredkladatele
n14:predkladatel
n6:idSjednocenehoVysledku
34805
n6:idVysledku
RIV/61989592:15310/14:33151942
n6:jazykVysledku
n16:eng
n6:klicovaSlova
Cartography; Detection; Fixation; Eye-movements; Eye-tracking
n6:klicoveSlovo
n8:Cartography n8:Detection n8:Eye-movements n8:Eye-tracking n8:Fixation
n6:kontrolniKodProRIV
[307CEF222DE6]
n6:mistoKonaniAkce
Albena
n6:mistoVydani
Sofia
n6:nazevZdroje
14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing
n6:obor
n18:DE
n6:pocetDomacichTvurcuVysledku
1
n6:pocetTvurcuVysledku
1
n6:projekt
n13:EE2.3.20.0170
n6:rokUplatneniVysledku
n9:2014
n6:tvurceVysledku
Popelka, Stanislav
n6:typAkce
n12:WRD
n6:zahajeniAkce
2014-06-19+02:00
s:issn
1314-2704
s:numberOfPages
8
n20:hasPublisher
STEF92 Technology Ltd.
n19:isbn
978-619-7105-10-0
n3:organizacniJednotka
15310