We make 3-5 eye movements per second, and these movements are crucial in helping us deal with the vast amounts of information we encounter in our everyday lives. In recent years, thanks to the development of eye-tracking technology, there has been a growing interest in monitoring and measuring these movements, with a view to understanding how we attend to and process the visual information around us. Eye tracking as a research tool is now more accessible than ever, and is growing in popularity amongst researchers from a whole host of different disciplines. Usability analysts, sports scientists, cognitive psychologists, reading researchers, psycholinguists, neurophysiologists, electrical engineers, and others all have a vested interest in eye tracking for different reasons. However, despite the scientific advancements and technological innovations resulting from recording eye movements, the growth of eye tracking also presents a variety of challenges-in particular how to design an eye-tracking experiment and analyse the data to fit your needs. This volume is a much needed comprehensive handbook of eye-tracking methodology. In its second edition, it describes how to evaluate and acquire an eye-tracker, how to plan and design an eye tracking study, and how to record and analyse eye-movement data. Besides technical details and theory, the heart of the book revolves around practicality-how raw data samples are converted into fixations and saccades using event detection algorithms, how the different representations of eye-movement data are calculated using Areas Of Interest (AOIs), heat maps and scanpaths, and how all the measures of eye movements relate to these processes. Part I presents the technology and skills needed to perform high-quality research with eye-trackers. Part II covers the predominant methods applied to the data which eye-trackers record. These include the parsing of raw sample data into oculomotor events, and how to calculate representations of eye movements such as transition matrices. Part III gives a comprehensive outline of the most common paradigms used with eye-trackers, and the measures which can be calculated using the events and representations described in Part II. This is a taxonomy of the measures available to eye-tracking researchers, sorted by type of movement of the eyes and type of analysis. With it, the time and effort to design your experiments can be much reduced. For anyone in the sciences considering conducting research involving eye tracking, this book is an essential reference.
We make 3-5 eye movements per second, and these movements are crucial in helping us deal with the vast amounts of information we encounter in our everyday lives. In recent years, thanks to the development of eye-tracking technology, there has been a growing interest in monitoring and measuring these movements, with a view to understanding how we attend to and process the visual information around us. Eye tracking as a research tool is now more accessible than ever, and is growing in popularity amongst researchers from a whole host of different disciplines. Usability analysts, sports scientists, cognitive psychologists, reading researchers, psycholinguists, neurophysiologists, electrical engineers, and others all have a vested interest in eye tracking for different reasons. However, despite the scientific advancements and technological innovations resulting from recording eye movements, the growth of eye tracking also presents a variety of challenges-in particular how to design an eye-tracking experiment and analyse the data to fit your needs. This volume is a much needed comprehensive handbook of eye-tracking methodology. In its second edition, it describes how to evaluate and acquire an eye-tracker, how to plan and design an eye tracking study, and how to record and analyse eye-movement data. Besides technical details and theory, the heart of the book revolves around practicality-how raw data samples are converted into fixations and saccades using event detection algorithms, how the different representations of eye-movement data are calculated using Areas Of Interest (AOIs), heat maps and scanpaths, and how all the measures of eye movements relate to these processes. Part I presents the technology and skills needed to perform high-quality research with eye-trackers. Part II covers the predominant methods applied to the data which eye-trackers record. These include the parsing of raw sample data into oculomotor events, and how to calculate representations of eye movements such as transition matrices. Part III gives a comprehensive outline of the most common paradigms used with eye-trackers, and the measures which can be calculated using the events and representations described in Part II. This is a taxonomy of the measures available to eye-tracking researchers, sorted by type of movement of the eyes and type of analysis. With it, the time and effort to design your experiments can be much reduced. For anyone in the sciences considering conducting research involving eye tracking, this book is an essential reference.
