Pen & Paper Planning

About me

Claudia is involved in transdisciplinary research concerning social robotics. Therefore she investigates human-robot communication under the condition of it's situatedness and the appearance of unanticipated incidents. The objectives of this work are concerning the improvement of communicating agents equipped with attention mechanisms by implementing methods of pattern recognition. 
Mainly her work focuses on exploring communication strategies in humans and machines, as technological interfaces that are made for facilitatig communication are a recent application. 

Claudias further research activities are in the domains of qualitative video methodology [pdf] and science and technology studies (STS). Claudia also has been working on the representation of science in the media, such as fiction film. An ongoing cooperation project is on the role of science in changing the future of societies: with colleagues as, e.g. Peter Weingart. 

Claudia Muhl is member of the german scientific societies: Gesellschaft fuer Hoschschulforschung (GFHF), Gesellschaft fuer Kognitionswissenschaft e.V. (KG), Gesellschaft fuer Wissenschafts- und Technikforschung e.V. (GWTF), and of the European Association for the Study of Science and Technology (EASST). She is a former member of Gesellschaft fuer Informatik e.V. (GI).

Soziale Aspekte der Mensch-Roboter Interaktion, 3. Forschungskolloquium Qualitative Methoden, Universitaet Bielefeld, Mai 2018
Claudia studied Politics, Philosophy, Sociology, and Social History in order to obtain sophisticated perspectives on society, concepts of knowledge, truth and science. She received her Diploma of Sociology from Bielefeld University, Germany. In 2005, she joined the Applied Computer Science Group for intensifying her interdisciplinary studies. Recently she is preparing her PhD-thesis, which was promoted by a scholarship of Bielefeld University and the Sozialwerk Bielefelder Freimaurer. The project was supervised by Joerg R. Bergmann and Gerhard Sagerer. Her research fokusses on the human side of human-robot interaction.