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Chapter 10. Dynamic eyetracking

  • Michal Kornacki and Jan-Louis Kruger
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Abstract

Dynamic eyetracking, leveraging mobile and wearable devices like eyetracking glasses, facilitates the collection of eye movement data in real-world contexts, allowing participants to move freely and interact with their environment. This chapter explores dynamic eyetracking as a research method within translation and interpreting studies. While dynamic eyetrackers offer significant advantages for studies necessitating naturalistic settings, such as those in multilingual mediated tasks, they also present challenges, including lower sampling frequencies, extensive manual data processing, and potential data quality issues. Ethical considerations, such as participant privacy and data anonymization, are paramount. Despite these challenges, dynamic eyetracking provides valuable insights into visual attention and cognitive processes, depending on the research question and data requirements.

Abstract

Dynamic eyetracking, leveraging mobile and wearable devices like eyetracking glasses, facilitates the collection of eye movement data in real-world contexts, allowing participants to move freely and interact with their environment. This chapter explores dynamic eyetracking as a research method within translation and interpreting studies. While dynamic eyetrackers offer significant advantages for studies necessitating naturalistic settings, such as those in multilingual mediated tasks, they also present challenges, including lower sampling frequencies, extensive manual data processing, and potential data quality issues. Ethical considerations, such as participant privacy and data anonymization, are paramount. Despite these challenges, dynamic eyetracking provides valuable insights into visual attention and cognitive processes, depending on the research question and data requirements.

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