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Detection of anger with and without control for affective computing systems

机译:检测和不控制情感计算系统的愤怒

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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: angero control, anger/control, neutralo 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.
机译:来自情感计算界面的反馈应提高对负面情绪状态(如愤怒)的认识和自我调节。这项研究的目的是确定与控制水平相结合的基于心血管和脑电图的愤怒指标。 40名参与者分为四个实验组:愤怒/无控制,愤怒/控制,中性/无控制和中性/控制。通过言语情绪诱导来操纵愤怒(愤怒状态与中立状态)。此外,参与者还面临着基于计算机的问题解决任务,其中键盘可以正常工作(控制)或出现故障(无法控制)。除自我报告变量外,还获得了各种心理生理变量(包括血压,心血管阻抗,脑电图和面部肌电图)。自我报告变量的统计分析表明,愤怒和控制的操纵是成功的。发现血压和脑电图对愤怒很敏感,没有控制状态。讨论了该研究的意义,涉及生物神经系统的发展,以监测不同类别的愤怒。

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