Understanding Reading Patterns of Albanian Native Readers Through Mouse Tracking Analysis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AUIKMXVXB" target="_blank" >RIV/00216208:11320/26:UIKMXVXB - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-031-87763-6_38" target="_blank" >http://dx.doi.org/10.1007/978-3-031-87763-6_38</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-87763-6_38" target="_blank" >10.1007/978-3-031-87763-6_38</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Understanding Reading Patterns of Albanian Native Readers Through Mouse Tracking Analysis
Popis výsledku v původním jazyce
Eye-tracking has been recognized as an effective method for studying reading patterns in various languages, proving its value in diverse linguistic contexts. However, the high cost of eye-tracking devices leads many labs to explore more affordable alternatives, such as web-based eye-tracking experiments, self-paced reading (SPR) studies and mouse tracking experiments. In this study we utilize the MoTR (Mouse Tracking for Reading) tool developed by Wilcox et al. [1] to conduct experiments with 50 native Albanian speakers. We present the adaptions made to the tool to address the specific requirements of our research and analyze the collected data to understand participants’ reading patterns and comprehension of the stimuli texts. Our analysis includes participant behavior, average experiment duration and the identification of keywords in each text. The findings provide valuable insights into reading speed and linguistic processing, advancing language research for Albanian and laying the groundwork for future data post-processing efforts. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Název v anglickém jazyce
Understanding Reading Patterns of Albanian Native Readers Through Mouse Tracking Analysis
Popis výsledku anglicky
Eye-tracking has been recognized as an effective method for studying reading patterns in various languages, proving its value in diverse linguistic contexts. However, the high cost of eye-tracking devices leads many labs to explore more affordable alternatives, such as web-based eye-tracking experiments, self-paced reading (SPR) studies and mouse tracking experiments. In this study we utilize the MoTR (Mouse Tracking for Reading) tool developed by Wilcox et al. [1] to conduct experiments with 50 native Albanian speakers. We present the adaptions made to the tool to address the specific requirements of our research and analyze the collected data to understand participants’ reading patterns and comprehension of the stimuli texts. Our analysis includes participant behavior, average experiment duration and the identification of keywords in each text. The findings provide valuable insights into reading speed and linguistic processing, advancing language research for Albanian and laying the groundwork for future data post-processing efforts. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Lecture Notes on Data Engineering and Communications Technologies
ISSN
23674512
e-ISSN
—
Svazek periodika
245
Číslo periodika v rámci svazku
2025
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
11
Strana od-do
433-443
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-105005412088