Deutsch Intern
    Institute of Computer Science



    Auf Einladung von Prof. Dr. Birgit Lugrin findet der folgende Vortrag statt:

    Dienstag, 17. Mai 2022, 12:15 Uhr, Turing-Hörsaal, Informatikgebäude, Am Hubland

    Prof. Dr. Matthias Rehm
    Professor für Human Machine Interaction und Leiter des Human Robot Interaction Labs
    Aalborg University, Dänemark

    Would you trust a robot? Measuring trust in human robot collaboration



    Robots start moving out into the world and it becomes more likely that we need to interact with them e.g. as co-workers, assistants, or self-driving cars. But what does it take for us to trust them to do their job?

    Robots are moving out of restricted environments on the factory floor into dynamic and social environments. This means in the near future we will need to start interacting with robots on a daily basis.

    In this talk, we look at an interesting factor in human robot interaction that can be essential for the question if a robot is used or not: trust towards the robot. Imagine for instance a medicine reminder robot in a care home for senior citizens. What would it take for you to trust the robot taking care of your mother or grandmother? Trust is a complex human trait and thus a complex element for the interaction with robots. We are going to explore current research projects that investigate trust as a factor in human robot interaction and focus ont the challenge of measuring trust during the interaction based on sensor data.


    Matthias Rehm is Professor for Human Machine Interaction at the Technical Faculty of IT and Design and the director of the interdisciplinary Human Robot Interaction lab at Aalborg University. He received his Diploma and Doctoral degrees (with honors) in 1998 and 2001 respectively from Bielefeld University in Germany. In 2008, he successfully completed his habilitation process in Computer Science at the University of Augsburg in Germany. His research is focused on modeling social, affective and cultural aspects of everyday behavior for intuitive human machine interactions. He has over 140 peer reviewed publications in the area of robotics and human machine interaction.