Applied Informatics Group

M.A. Luise Süssenbach

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Name: M.A. Süssenbach Luise
Phone: 2931
Office:
Email: lsuessen [AT] techfak.uni-bielefeld.de

Short CV

Luise Süssenbach received her Master's degree from Bielefeld University in May 2011. In her thesis she investigated motivational processes of athletes using a conversation analytic approach.

In May 2011, Luise  joined the Research Institute for Cognition and Robotics (CoR-Lab) and the Applied Informatics Group at the Bielefeld University, Germany. From May 2011 till August 2014 she worked in the SocioRob project, funded by the German Aerospace Centre (DLR).

Currently she is finishing her dissertation. In her thesis she developes an interactive, action–based motivation model for HRI that has been implemented in an autonomous robot system and tested during a long-term HRI study. The model is based on micro-analyses of human indoor cycling courses and resulted in an adaption of specific dialog patterns for HRI. A qualitative evaluation – accompanied by a quantitative analysis – demonstrated that the transfer of interaction patterns from HHI to HRI was successful with participants benefitting from the interaction experience (e.g., performance, subjective feeling of being motivated). Luise is supervised by Karola Pitsch and Ulrich Dausendschön-Gay.

 

Research Interests

  • ​Multimodal Interaction, Conversation Analysis
  • ​Human-Human Interaction
  • ​Human-Robot Interaction
  • Social research

 

Teaching

SS 2012  Seminar (gemeinsam mit Karola Pitsch & Christian Schnier) "Interaktion und Technologie"

SS 2011 Projektseminar (gemeinsam mit Karola Pitsch & Christian Schnier) "Kommunikative Strategien in der Museums-Interaktion. Ein humanoider Roboter als Museumsführer?"


Recent Best Paper/Poster Awards

Goal Babbling of Acoustic-Articulatory Models with Adaptive Exploration Noise
Philippsen A, Reinhart F, Wrede B (2016)
International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob) 
PUB | PDF

 

Are you talking to me? Improving the robustness of dialogue systems in a multi party HRI scenario by incorporating gaze direction and lip movement of attendees
Richter V, Carlmeyer B, Lier F, Meyer zu Borgsen S, Kummert F, Wachsmuth S, Wrede B (2016)
International Conference on Human-agent Interaction (HAI) 

 

"Look at Me!": Self-Interruptions as Attention Booster?
Carlmeyer B, Schlangen D, Wrede B (2016)
International Conference on Human Agent Interaction (HAI)
PUB | DOI

 

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