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Emotions and personality traits in argumentation: An empirical evaluation1

机译:论证中的情绪和人格特质:一项实证评估1

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Argumentation is a mechanism to support different forms of reasoning such as decision making and persuasion and always cast under the light of critical thinking. In the latest years, several computational approaches to argumentation have been proposed to detect conflicting information, take the best decision with respect to the available knowledge, and update our own beliefs when new information arrives. The common point of all these approaches is that they assume a purely rational behavior of the involved actors, be them humans or artificial agents. However, this is not the case as humans are proved to behave differently, mixing rational and emotional attitudes to guide their actions. Some works have claimed that there exists a strong connection between the argumentation process and the emotions felt by people involved in such process. We advocate a complementary, descriptive and experimental method, based on the collection of emotional data about the way human reasoners handle emotions during debate interactions. Across different debates, people’s argumentation in plain English is correlated with the emotions automatically detected from the participants, their engagement in the debate, and the mental workload required to debate. Results show several correlations among emotions, engagement and mental workload with respect to the argumentation elements. For instance, when two opposite opinions are conflicting, this is reflected in a negative way on the debaters’ emotions. Beside their theoretical value for validating and inspiring computational argumentation theory, these results have applied value for developing artificial agents meant to argue with human users or to assist users in the management of debates.
机译:论证是一种支持不同形式的推理(例如决策和说服力)的机制,并且总是在批判性思维的指导下进行。在最近几年中,已经提出了几种论证的计算方法,以检测冲突的信息,就可用知识做出最佳决策,并在新信息到来时更新我们自己的信念。所有这些方法的共同点是,它们假定所涉及的参与者(无论是人类还是人工行为者)的纯粹理性行为。但是,事实并非如此,因为人们被证明具有不同的行为方式,混合理性和情感态度来指导他们的行为。一些作品声称,论证过程与参与该过程的人们所感受到的情感之间存在密切的联系。我们提倡一种互补的,描述性的和实验性的方法,该方法基于关于人类推理者在辩论交互过程中处理情绪的方式的情绪数据的收集。在不同的辩论中,人们以简单的英语进行的辩论与从参与者自动检测到的情绪,他们在辩论中的参与以及辩论所需的精神工作量相关。结果表明,在情绪,参与度和心理工作量方面,与论证要素相关。例如,当两种相反的观点发生冲突时,这对辩论者的情绪产生了消极影响。这些结果除了具有验证和启发计算论证理论的理论价值外,还具有开发人工代理的价值,这些代理旨在与人类使用者进行辩论或协助使用者进行辩论管理。

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