- Poster presentation
- Open Access
Neuronal correlates of emotions in human-machine interaction
© Blankertz et al; licensee BioMed Central Ltd. 2009
- Published: 13 July 2009
- Positive Emotion
- Affective Response
- High Error Rate
- Emotional Valence
- Neurophysiological Study
Previous neurophysiological studies of emotions have focused on the affective response in the emotional valence of a situation in which the reaction is rooted in perception or memories . Furthermore emotions have been investigated with regard to the trait of a subject, e.g. anger-out vs. anger control  and regarding motivational direction, e.g. approach vs. withdrawal . Aiming at an enhancement of human-computer interaction by incorporating the emotional state of the user, a novel type of investigation is required. Neuronal correlates of emotional reactions related to interaction (e.g. annoyance due to one's own failure or an error of the machine; joy of success) have to be analyzed and methods for their detection in real-time need to be developed. In the present study we have acquired multi-channel EEG in four subjects while they were interacting with computer applications that have been specifically designed in order to provoke – in alternating phases – neural, positive or negative (stress, annoyance) emotions. In particular, a two-player variant of a two-alternative forced-choice task had to be performed while in alternating periods either one or the other player was given "unfair" preferential treatment by providing the task stimulus slightly in advance. This bias could not be noticed by the players.
This work was supported in parts by grants of the BMBF (01IB001A/B, 01GQ0850) and the EU (ICT-216886).
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