Human-Machine Interaction

Brain-computer interface for adapting technical interaction to emotions (EmoAdapt)

The goal of the interdisciplinary project EMOADAPT is to develop a brain-computer interface that allows emotions to be recognized in real time and integrated into the interaction between humans and machines using virtual realities. To detect and identify emotional changes in human-machine interaction, imaging techniques (functional magnetic resonance imaging), electroencephalography and classical peripheral-psychophysiological measures (e.g. skin resistance) will be combined. In designing virtual realities, relevant psychological aspects such as perception and attention processes, peculiarities of social and pseudo-social interaction processes (e.g. with an avatar) will be taken into account. Furthermore, the focus will be on the individual characteristics of the users, such as gender, personality aspects, but also which situational changes in virtual reality have a modulating effect on the experience during the human-machine interaction.

Project leader: PD Dr. Kerstin Krauel

Project management:  Dr. Martin Latsch, Dr. Kai Heimrath

Cooperation: Dr. Brechmann, Speziallabor Nicht-Invasive Bildgebung, Leibniz Institut für Neurobiologie, Magdeburg; Prof. Dr. Bernanding, Institut für Biometrie und Medizinische Informatik, OVGU; Prof. Dr. Brinkschulte, Institut für Geschichte und Ethik in der Medizin, OVGU 

Duration: 01.05.2015 - 30.04.2018


For questions about this project, please contact Dr. Kai Heimrath (

Last Modification: 10.11.2020 - Contact Person:

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