Processing and Analyzing of Pupillometry Data

Pupillometry is frequently used to examine cognitive aspects. While the experimental issues should be addressed during the measuring itself, there are several aspects that should be taken into account during the processing and analysis of the observed data. In the present chapter, we will present the most important aspects that appear during the preprocessing of the data (such as eyeblinks and eye movements), dealing with outliers, data normalization, baseline correction, data analysis, data presentation, manipulation check, and statistical methods. The chapter also includes hands-on practice for most of the discussed aspects. This chapter is written with the aim of supporting anyone interested in conducting a pupillometry study, regardless of its specific domain. We hope that at present, the guide proposed above is as up-to-date as possible and may assist in expanding the research circle of those conducting pupillometry studies.