Page Content
Overview
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 & Syllabus
Learning 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
Course Structure:
Reading week: June 28th - July 2nd, 2021. Flexible, 5 hours preparatory work to be done on-demand.
Online course: July 5th - July 16th, 2021. Estimated session times are Mondays through Fridays from 9 am to 2 pm CET for live lectures and group sessions, etc.
Please note that exact session times will be confirmed once registrations have closed (sessions will be scheduled according to the time zones of the registered course participants).
Should you have any questions regarding the course timetable, please contact us at summeruniversity@tubs.de
Please note this is a full-time, intensive course. Weeks 1 and 2 will involve approximately 30 hours of workload.
Syllabus:
A detailed syllabus with information on the schedule will be made available to registered participants.
You may find the syllabus useful when discussing with your home university whether the ECTS credits attainable for this course are accepted by them.
Target Audience
This course is designed for current university students, working professionals and any individuals wanting to learn about typical challenges in human-automation interaction.
Participants from all fields and disciplines are welcome.
Prerequisites and Technical Requirements
Participants of the TU Berlin Summer & Winter University must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.
Technical Requirements
We will ask participants to fulfill the following technical requirements:
- Fully functional device (laptop, tablet, PC)
- Stable internet connection
- Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real name as zoom account name)
- Recommended: external headset for better sound quality
Lecturer(s)
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.
Course fees
Course fees for Cognitive Engineering are as follows:
Student: 720 Euro
Working professional/Non-student: 1120 Euro
The early bird discount is available for all participants until April 1st 2021.
Please note that students will be required to upload proof of their student status (student card/ enrollment information) during the registration process.
