TY - GEN
T1 - Detection of anger with and without control for affective computing systems
AU - Spiridon, Elena
AU - Fairclough, Stephen H.
PY - 2009/12/8
Y1 - 2009/12/8
N2 - Feedback from affective computing interfaces should improve awareness and self-regulation of negative emotional states, such as anger. The aim of this study was to identify cardiovascular and electroencephalography-based indicators of anger, in combination with level of control. Forty participants were split into four experimental groups: anger/no control, anger/control, neutral/no control and neutral/control. Anger (anger state vs. neutral state) was manipulated via verbal mood induction. In addition, participants were exposed to a computer-based problem-solving task where the keyboard either worked correctly (control) or malfunctioned (no control). Various psychophysiological variables (including blood pressure, cardiovascular impedance, electroencephalography and facial electromyography), in addition to self-report variables, were obtained. Statistical analyses of self-report variables indicated that manipulation of anger and control was successful. Blood pressure and electroencephalography were found to be sensitive to the anger with no control state. Implications of the study are discussed in relation to the development of biocybernetic systems to monitor different categories of anger.
AB - Feedback from affective computing interfaces should improve awareness and self-regulation of negative emotional states, such as anger. The aim of this study was to identify cardiovascular and electroencephalography-based indicators of anger, in combination with level of control. Forty participants were split into four experimental groups: anger/no control, anger/control, neutral/no control and neutral/control. Anger (anger state vs. neutral state) was manipulated via verbal mood induction. In addition, participants were exposed to a computer-based problem-solving task where the keyboard either worked correctly (control) or malfunctioned (no control). Various psychophysiological variables (including blood pressure, cardiovascular impedance, electroencephalography and facial electromyography), in addition to self-report variables, were obtained. Statistical analyses of self-report variables indicated that manipulation of anger and control was successful. Blood pressure and electroencephalography were found to be sensitive to the anger with no control state. Implications of the study are discussed in relation to the development of biocybernetic systems to monitor different categories of anger.
KW - computing systems
UR - http://www.scopus.com/inward/record.url?scp=77949401698&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77949401698&partnerID=8YFLogxK
U2 - 10.1109/ACII.2009.5349586
DO - 10.1109/ACII.2009.5349586
M3 - Conference proceeding (ISBN)
AN - SCOPUS:77949401698
SN - 9781424447992
T3 - Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
SP - 1
EP - 6
BT - Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
T2 - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Y2 - 10 September 2009 through 12 September 2009
ER -