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Are You Angry (Happy, Sad) or Aren't You? Emotion Detection Difficulty in Email Negotiation

机译:您是生气(快乐,悲伤)还是不是?电子邮件协商中的情绪检测困难

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This research investigates consistency of emotion detection in email negotiations. Conveying and detecting emotions in negotiation is important because emotions can function strategically. Therefore, this research systematically explores in four separate studies how consistently individuals detect discrete emotions in text-based (email) negotiations. Study 1 compared the ratings from two coders using a high quantity of thought units (n=1317) and a negative bargaining zone negotiation scenario. In studies 2 and 3, three different negotiation scenarios were explored, first on a thought unit level and then on a message unit level using a hierarchical emotion coding scheme. In all three studies, coders' perceptions were also compared with the text analysis program LIWC. Study 4 compared coding from seven of the actual negotiators with that of an independent coder and a computerized text program. All four studies found low emotion recognition consistency across 14 different coders with only one negotiation scenario in study 3 showing a moderate level of consistency. Comparisons of computerized coding with human coders did not show improved agreement. High amounts of contrary coding by independent coders were also found. Our research makes an important contribution to the literature by challenging the common assumption that emotions can be reliably detected in email negotiation. Factors that might influence more consistent emotion recognition and conveyance as well as implications for practice and future research are discussed.
机译:这项研究调查了电子邮件协商中情绪检测的一致性。在谈判中传达和检测情绪很重要,因为情绪可以战略性地发挥作用。因此,本研究在四项单独的研究中系统地探讨了个人如何在基于文本的(电子邮件)谈判中一致地检测离散情绪。研究1比较了使用大量思维单元(n = 1317)和否定的议价区谈判情景的两个编码员的评级。在研究2和3中,探索了三种不同的协商方案,首先是在思想单元级别上,然后是在消息单元级别上使用分层情感编码方案。在所有三项研究中,还将编码人员的感知与文本分析程序LIWC进行了比较。研究4比较了来自七个实际谈判人员的编码与一个独立编码器和一个计算机文本程序的编码。所有这四项研究都发现14个不同编码者的情绪识别一致性较低,而研究3中只有一个协商场景显示了中等程度的一致性。计算机编码与人类编码员的比较未显示出改进的一致性。还发现了由独立编码器进行的大量相反编码。我们的研究通过挑战可以在电子邮件协商中可靠地检测出情感的普遍假设,为文献做出了重要贡献。讨论了可能影响更一致的情感识别和传达以及对实践和未来研究的影响的因素。

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