Chapter 3: A Dynamic Generalized Mixed Effect Model for Intensive Binary Temporal-Spatio Data from an Eye-Tracking Technique

Asking questions and observing responses to these questions is arguably the most common paradigm in the study of human cognition, including studies of skills, abilities, attitudes, and decision-making, as well as situational and person related factors. The domains of inquiry are varied and include problem-solving, knowledge, memory, language, and decision-making. In addition to collecting explicit question-response data, data from complementary methods can be acquired in parallel, including response times, brain imaging, electroencephalography (EEG), event-related brain potentials (ERPs), and eye-tracking data. In this book chapter, we focus on eye-tracking data, as it has emerged as a dominant method for examining cognitive processes across multiple fields of study. However, despite its ubiquity, current data analytic techniques do not come anywhere close to taking full advantage of the rich structure of eye-tracking data.