| Beschreibung |
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. |
| Literatur |
to be announced |
| Bemerkung |
Time and place will be announced at the project fair. |
| Voraussetzungen |
Basic knowledge in machine learning, e.g. the course “Introduction to Machine Learning” should have been completed |
| Leistungsnachweis |
1) Design two interface prototypes that utilize pupil dynamics for access authentication
2) Conduct a laboratory study to collect pupillary data
3) Apply machine learning techniques to evaluate the usability of the outcome
4) Document the results in an empirical report |
| Zielgruppe |
M.Sc. Computer Science and Media / Computer Science for Digital Media
M.Sc. Human-Computer Interaction
M.Sc. Digital Engineering |
