The study of eye movements is essential in cognitive research, as it provides valuable information about individuals' attentional, memory, and emotional processes. Eye-tracking techniques allow us to obtain precise data about where participants move their eyes and where they fixate, making it possible to analyze visual behavior in controlled experimental settings and everyday situations. Eye-tracking methods are of great importance in fields such as education, psychology, neuroscience, applied linguistics, and human-computer interface design, among others.
This continuing education program aims to provide participants with a comprehensive understanding of eye-tracking and pupillometry techniques as well as their application in various fields of experimental and applied research. This course is designed for professionals and academics interested in studying human cognition eye-tracking and eye-movement analysis, offering both theoretical background and practical information for using eye-tracking devices and analyzing the data obtained.
This block will focus on establishing the theoretical foundations necessary to understand eye-tracking and pupillometry. It will address the neurocognitive principles underlying eye movements and their relationship with cognitive processes such as attention and memory. Participants will explore the anatomy of the eye and the different types of eye movements, such as saccades and fixations, in addition to variations in pupil diameter. This knowledge will allow students to understand how and why these movements occur and how they can be interpreted in terms of cognitive activity.
In this block, participants will be familiarized with the different devices and techniques used for recording eye movements. We will discuss and compare the capabilities and use cases of mobile, desktop, and virtual reality glasses-integrated eye-tracking systems. In addition, we will explain how to configure and calibrate these devices in order to obtain accurate and reliable data. Students will acquire basic concepts about the key components of eye-tracking systems, such as high-speed cameras and infrared light sources, and how these technologies allow the recording of eye movements with high precision.
This block will focus on methodologies for recording and analyzing data obtained through eye-tracking. Participants will learn how to perform accurate recordings and apply data processing techniques, visual inspection, and event detection. Methods for evaluating and improving data quality will be explored, ensuring their accuracy and precision. In addition, it will be taught how to generate visual representations and quantitative measures of eye-tracking data based on data already collected in real research, allowing a detailed and rigorous analysis of eye movement patterns in different experimental contexts.
The final block will be devoted to the practical application of the acquired knowledge and the analysis of case studies. Participants will explore how eye-tracking is used in research on reading processes, social interaction, and human-computer interface design. Examples of current research will be reviewed, and it will be discussed how eye-tracking can be integrated with other neuroscientific techniques to obtain a more complete understanding of cognitive behavior. This block will allow students to apply their skills in real projects, facilitating the development of new research and practical applications in their respective fields.