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Quantitative assessment of sad emotion

机译:悲伤情绪的定量评估

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Based on the disparity theory of emotion, the role of sad emotion is an internal assessment of the error-correction process to reduce the disparity between the expected and actual outcomes (loss reduction) in the reality check process. This computational theory of emotion is consistent with the psychological characteristics that sadness is an emotional response to the sense of loss (such as loss of loved ones, valuables, possessions, or achieved goals). This emotional theory of sadness also includes the emotional resolution process by accepting that nothing can be done to change the actual outcomes, and resolving the emotion by reducing the perceived loss. This self-corrective mechanism is used as an internal feedback to assess the incongruence between the expectation and the actuality, such that the perceived loss can be reduced, resolving the sad emotion in the process. Thus, sadness can serve as a motivating feedback to an individual to make a decision to reduce the loss in the emotional resolution process. The classical ultimatum game (UG) paradigm is used to elicit self-generated emotion in human subjects experimentally in response to the disparity between the proportions of money being offered to share with. Results showed that the sadness level is quantified by the sadness stimulus-response function. The level of sadness intensity is proportional to perceived loss (or inversely proportional to the perceived gain). The results also showed that there was a shifting of the baseline sadness level from a less sad level for the acceptance decision to a more sad level for the rejection decision. This shows that the sad emotion can be resolved by accepting the monetary offer in the UG paradigm, which reduces the loss compared to the decision to reject the money. These results confirmed the emotional disparity hypothesis that the level of sadness is proportional to the perceived loss, and sadness can be resolved by reducing the loss in the self-regulated internal processing of emotion. Implications on emotional intelligence are also addressed so that one of the effective skills to resolve sadness is the reduction of the perceived losses.
机译:根据情感差异理论,悲伤情感的作用是对纠错过程的内部评估,以减少现实检查过程中预期结果与实际结果之间的差异(减少损失)。这种情感的计算理论与心理特征一致,即悲伤是对丧失感(例如失去亲人,贵重物品,财产或实现的目标)的情感反应。这种悲伤的情感理论还包括情感解决过程,它接受无法改变实际结果的任何方法,并通过减少感知到的损失来解决情感。这种自我纠正机制被用作内部反馈,以评估期望与现实之间的不一致,从而可以减少感知到的损失,从而解决了过程中的悲伤情绪。因此,悲伤可以作为激励个人的反馈,以决定减少情感解决过程中的损失。经典的最后通game博弈(UG)范式被用来实验性地激发人类对象的自我产生的情感,以响应提供分享的金钱比例之间的差异。结果表明,悲伤水平是由悲伤刺激反应函数量化的。悲伤强度水平与感知损失成正比(或与感知增益成反比)。结果还表明,基线悲伤级别从接受决策的较不悲伤级别转变为拒绝决策的较悲伤级别。这表明悲伤的情绪可以通过接受UG范式中的货币要约来解决,与拒绝货币的决定相比,这可以减少损失。这些结果证实了情感差异假说,即悲伤的程度与感知到的损失成正比,并且可以通过减少自我调节的内部情绪处理中的损失来解决悲伤。还解决了对情绪智力的影响,因此解决悲伤的有效技能之一是减少感知损失。

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