Understanding Reading Patterns of Albanian Native Readers Through Mouse Tracking Analysis
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Understanding Reading Patterns of Albanian Native Readers Through Mouse Tracking Analysis
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes on Data Engineering and Communications Technologies
ISSN
23674512
e-ISSN
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Volume of the periodical
245
Issue of the periodical within the volume
2025
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
433-443
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105005412088