The qualifications and skills obtained during master programs often hardly prepare students to conduct eye-tracking studies, to avoid potential pitfalls when using the eye-tracking equipment and to analyze the complex eye-tracking datasets. Especially in the beginning of a PhD project these challenges appear to be overwhelming. PhD students completing the course will gain an overview of research in the field of bottom-up and top-down attentional process and search in decision-making. We will give an overview on latest developments in the field, including learning and contextual biases in decision sequences and the evaluation of decision theories. From a practical perspective PhD students will get insight in the process of setting up eye-tracking experiments, conducting a first empirical study on their own and analyzing an eye-tracking dataset. PhD students will have the opportunity to use remote eye-tracking devices together with their own laptops and use the provided software to analyze their datasets. Based on this experience, students will be able to critically reflect their experimental work and improve the planning of their own future experiments. Moreover, PhD students will learn about ways of analyzing eye-tracking data, for example using multi-level regression models.
*More information can be found at: http://tinyurl.com/phdcourse-eyetracking*