Alexandra Kirsch

Assistant Professor

 

 

University of Tübingen

Department of Computer Science

Media Informatics (Human-Computer Interaction)

 

Sand 14

72076 Tübingen

 

E-Mail: alexandra.kirsch[at]uni-tuebingen.de

Phone: +49-7071-29-70418

Office: C112a

Mission Statement

Today technical systems offer useful features, but are often perceived as inflexible and incomprehensible. My goal is to develop artificial intelligence methods that enhance the user experience by providing useful solutions to real-world problems. To reach this goal we can learn a lot from psychology and neuroscience to get a better understanding of how humans solve problems and what they expect from technical systems.

 

Research Interests

  • human and computational problem solving
  • human-robot cooperation
  • knowledge-based failure recognition
  • robot navigation in human environments
  • adaptation and learning
  • plan-based action selection
  • representation of everyday objects

Publications

List of Publications

For statistics about my publications see my profile at Google Scholar.

Short CV

Alexandra Kirsch is an assistant professor at the University of Tübingen. She received her diploma degree in Computer Science in 2003 and her doctoral degree in 2008 from Technische Universität München. After her PhD she worked as a strategy consultant before returning to TU München as a senior researcher, leading a junior research group in the cluster of excellence "Cognition for Technical Systems" (CoTeSys) and supported as a Carl-von-Linde Junior Fellow by the Institute for Advanced Study of TU München. Since 2012 she is a member of the Young Scholars Programme of the Bavarian Academy of Sciences and Humanities. Her research aims at making technical systems more understandable for users by developing and applying artificial intelligence methods. Specific research interests include human-robot collaboration, autonomous decision-making, knowledge-based failure recognition, knowledge representation, robot learning and plan-based robot control. In all these efforts findings from and collaborative work with psychology and neuroscience play an important role.