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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.

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Understanding Reading Patterns of Albanian Native Readers Through Mouse Tracking Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • Alba Haveriku,
  • Sara Bedulla,
  • Nelda Kote,
  • Elinda Kajo Meçe

摘要

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.