相性皮肤电活动表明工作负荷和情感状态的变化

Y. Feng, T. Tang, Eric Tatt Wei Ho
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引用次数: 1

摘要

适度的压力对于推动个人实现特定目标至关重要。然而,在发展中国家,由于日益增加的任务复杂性(工作量)和日常生活中的干扰,与压力有关的疾病、认知和情绪障碍越来越普遍。皮电活动(EDA)是交感神经系统的一种非侵入性外周指标,广泛应用于心理生理学研究。典型的EDA数据破坏了表明皮肤电导反应(SCR)对刺激的相位特征。在这里,我们尝试用反卷积的方法来揭示相活动,并试图回答这些特征是否可以帮助我们揭示情感分心和工作压力之间的相互作用。EDA的研究结果显示,与中性对照组相比,实验组的参与者在受到负面情感刺激时SCR升高,但在进行认知任务时SCR降低。在最高工作负荷条件下(3-back任务),负情感组的分相EDA曲线下面积(AUC)显著低于中性组。我们假设消极情感组显著降低的SCR和轻微提高的表现(准确性)可能表明对最具挑战性的任务高度关注。我们的初步研究表明,相位EDA可用于指示高工作负荷条件下内部状态的变化。
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Phasic Electrodermal Activity Indicates Changes in Workload and Affective States
Moderate level of stress is essential to drive an individual towards a specific goal. However, there is growing in prevalence of stress-related illnesses, cognitive and emotional disturbances in developing nations due to increasing task complexity (workload) and disturbances in daily life. Electrodermal activity (EDA) is a non-invasive peripheral index of the sympathetic nervous system that is widely used in psychophysiological studies. Typical EDA data undermined the phasic features that indicates skin conductance responses (SCR) towards stimuli. Here, we attempt deconvolution method to uncover the phasic activity and seek to answer if such features could help us unravel the interacting effects between affective distraction and workload stress. EDA findings showed that participants under the experimental group had heightened SCR when exposed to negative affective stimuli but reduced during cognitive tasks, as compared to neutral control. Although behavioral performance does not reveal significant group differences, negative affective group showed a significant lower SCR expressed by area under curve (AUC) of phasic EDA as compared to neutral control during the highest workload condition (3-back task). We postulate that significant lowered SCR and slight improved performance (accuracy) among negative affective group could indicate intense focus on the most challenging task. Our pilot study shows that phasic EDA is useful to indicate changes in internal states during high workload condition.
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