According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from osf.io: "Gaze sequencing, the analysis of the order and duration of eye fixations, plays a crucial role in understanding human behavior, cognitive processes, and decision-making. It has applications in various fields such as human-computer interaction, healthcare, psychology research, and more. "However, accurately capturing and interpreting gaze sequences can be challenging due to factors like noise, distractions, and individual variations. "To overcome these challenges and enhance the accuracy of gaze sequencing, machine learning techniques have emerged as powerful tools. "This article provides an overview of machine learning techniques in gaze sequence analysis and explores their role in improving accuracy, along with discussing applications, challenges, future trends, and case studies. By leveraging machine learning, we can unlock the full potential of gaze sequencing, opening up new avenues for research, development, and real-world applications." This preprint has not been peer-reviewed.
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