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Empirical and Computational Models for Adaptive Interaction Systems

LOCATION: Auditorium 1, TEL 20, Ernst-Reuter-Platz 7, 20th floor

Date/Time: 30.11.2015, 14:15-15:00

SPEAKER: Felix Putze (Uni Bremen)

ABSTRACT:

Building adaptive interaction systems requires the recognition and modeling of the user's cognitive processes. In this talk, I will present work on empirical (i.e. sensor-based) and computational (i.e. knowledge-based) user models as well as the combination of both approaches for HCI applications. As one major example, I will present work on an EEG-based self-correcting gesture interface. This interface detects error potentials in the EEG signal in response to unexpected feedback resulting from the incorrect interpretation of a user's gesture. The system then employs different strategies to recover pro-actively from detected error states.

BIO:

Dr. Felix Putze is a senior researcher with Prof. Dr. Tanja Schultz at the Cognitive Systems Lab of the University of Bremen. His research interests are adaptive human-machine interaction, cognitive user modeling and user state detection.

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