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

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33160664" target="_blank" >RIV/61989592:15310/16:33160664 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216224:14210/16:00101938

  • Výsledek na webu

    <a href="https://www.hindawi.com/journals/cin/2016/9172506/" target="_blank" >https://www.hindawi.com/journals/cin/2016/9172506/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1155/2016/9172506" target="_blank" >10.1155/2016/9172506</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

  • CEP obor

    FH - Neurologie, neurochirurgie, neurovědy

  • OECD FORD obor

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Budování výzkumně-vzdělávacího týmu v oblasti modelování přírodních jevů a využití geoinformačních systémů, s vazbou na zapojení do mezinárodních sítí a programů.</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2016

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Computational Intelligence and Neuroscience

  • ISSN

    1687-5265

  • e-ISSN

  • Svazek periodika

    2016

  • Číslo periodika v rámci svazku

    FEB

  • Stát vydavatele periodika

    US - Spojené státy americké

  • Počet stran výsledku

    14

  • Strana od-do

    "9172506-1"-"9172506-14"

  • Kód UT WoS článku

    000374067600001

  • EID výsledku v databázi Scopus