Eyetribe Tracker Data Accuracy Evaluation and Its Interconnection with Hypothesis Software for Cartographic Purposes

Varování

Publikace nespadá pod Pedagogickou fakultu, ale pod Filozofickou fakultu. Oficiální stránka publikace je na webu muni.cz.
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POPELKA Stanislav STACHOŇ Zdeněk ŠAŠINKA Čeněk DOLEŽALOVÁ Jitka

Rok publikování 2016
Druh Článek v odborném periodiku
Časopis / Zdroj Computational Intelligence and Neuroscience
Fakulta / Pracoviště MU

Filozofická fakulta

Citace
www http://www.hindawi.com/journals/cin/2016/9172506/
Doi http://dx.doi.org/10.1155/2016/9172506
Obor Zemský magnetismus, geodesie, geografie
Klíčová slova Cognitive cartography; Eye-tracking; Map; EyeTribe; SMI; Data accuracy; PHP Tool; Web-based platform Hypothesis; Mixed research design
Popis The mixed research design is a progressive methodological discourse that combines the advantages of quantitative and qualitative methods. Its possibilities of application are, however, dependent on the efficiency with which the particular research techniques are used and combined. The aim of the paper is to introduce the possible combination of Hypothesis software with EyeTribe tracker. The Hypothesis is intended for quantitative data acquisition and the EyeTribe for qualitative (eye-tracking) data recording. In the first part of the paper, Hypothesis software is decribed. The Hypothesis platform provides an environment for web-based computerized experiment design and mass data collection. Then, evaluation of the accuracy of data recorded by EyeTribe tracker was performed with the use of concurrent recording together with the SMI RED 250 eye-tracker. Both qualitative and quantitative results showed that data accuracy is sufficient for cartographic research. In the third part of the paper, a system for connecting EyeTribe tracker and Hypothesis software is presented. The interconnection was performed with the help of newly developed web application HypOgama. The created system uses open-source software OGAMA for recording the eye-movements of participants together with quantitative data from Hypothesis. The web application HypOgama was created for the automatic separation of recorded information and the modification of data for smooth import to the OGAMA environment where the data are analysed. The final part of the article describes the integrated research system combining Hypothesis and EyeTribe.
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