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Overview
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).
Learning Goals and Syllabus
Goals:
- 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
Syllabus:
The syllabus for Summer University 2020 will be available soon.
You may find the syllabus useful when discussing with your home University whether the ECTS credits attainable for this course are accepted by them.
Prerequisites
The general prerequisites of the TU Berlin Summer University are the following: at least one year of university experience + English level B2 or equivalent.
Lecturers
Tobias Rieger and Eileen Roesler are lecturers and researchers at the Chair of Work, Engineering, and Organizational Psychology at Technische Universität Berlin. In both teaching and research, the lecturers engage in the field of human-automation-interaction.
Tobias Rieger’s research focus lays on mechanisms of human information processing in both fundamental research as well as complex human-automation interaction.
Eileen Roesler’s research focuses on human-robot-interaction in multiple application domains, such as industrial, private, and commercial service.
