Cognitive Engineering

In this course, students gain skills and expertise in the field of human factors. First the theoretical groundwork (human perception and performance, design principles, and trust in automation) is laid and participants gain first practical insights in complex socio-technical systems. Afterwards, participants team up to put the theoretical foundation into the real world, examining typical challenges in human-automation interaction. The aim is to accomplish a holistic research process from the development of the research question to the presentation of the results. Thereby, the investigated technologies can vary broadly (e.g. humanoid robots, mobile applications, navigation devices, or websites).

Course leader

Eileen Roesler & Tobias Rieger

Target group

Students with various non-psychological backgrounds (e.g., engineering, information technology, philosophy, sociology, etc.) without pronounced prior experience in human factors.

Course aim

- Fundamental knowledge about human information processing and action selection as well as accompanying limitations
- Ability and common methods to analyze and optimize typical human factors problems
- Understanding and applying evaluation methods for human- machine-interaction in the context of user-centered design

Credits info

3 EC
ECTS

Fee info

EUR 950: 950 EUR for students
EUR 1140: 1140 EUR for working professionals