Cognometrics can be defined as a class of authentication techniques that build on cognitive or motor abilities of the human user. The current project aims to investigate user interfaces that employ pupil-related data for the purpose of distinguishing individual users. Students should first familiarize themselves with the literature on cognitive pupillometry. In the following project stage, the task is to design two interface prototypes that utilize pupil dynamics for access authentication. Pupillary data are then to be collected in a laboratory study. In the concluding phase of the project, a systematic analysis will be conducted utilizing machine learning methodologies to assess the viability and practicality of the outcome.