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Behavioral and Emotional Dynamics of Two People Struggling to Reach Consensus about a Topic on Which They Disagree

机译:努力就他们不同意的话题达成共识的两个人的行为和情感动力学

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摘要

We studied the behavioral and emotional dynamics displayed by two people trying to resolve a conflict. 59 groups of two people were asked to talk for 20 minutes to try to reach a consensus about a topic on which they disagreed. The topics were abortion, affirmative action, death penalty, and euthanasia. Behavior data were determined from audio recordings where each second of the conversation was assessed as proself, neutral, or prosocial. We determined the probability density function of the durations of time spent in each behavioral state. These durations were well fit by a stretched exponential distribution, with an exponent, , of approximately 0.3. This indicates that the switching between behavioral states is not a random Markov process, but one where the probability to switch behavioral states decreases with the time already spent in that behavioral state. The degree of this “memory” was stronger in those groups who did not reach a consensus and where the conflict grew more destructive than in those that did. Emotion data were measured by having each person listen to the audio recording and moving a computer mouse to recall their negative or positive emotional valence at each moment in the conversation. We used the Hurst rescaled range analysis and power spectrum to determine the correlations in the fluctuations of the emotional valence. The emotional valence was well described by a random walk whose increments were uncorrelated. Thus, the behavior data demonstrated a “memory” of the duration already spent in a behavioral state while the emotion data fluctuated as a random walk whose steps did not have a “memory” of previous steps. This work demonstrates that statistical analysis, more commonly used to analyze physical phenomena, can also shed interesting light on the dynamics of processes in social psychology and conflict management.
机译:我们研究了两个人试图解决冲突时表现出的行为和情感动态。要求两个人的59个小组进行20分钟的交谈,以就他们不同意的话题达成共识。主题是堕胎,平权行动,死刑和安乐死。行为数据是从音频记录中确定的,在这些音频记录中,会话的每一秒都被评估为自我,中立或亲社会的。我们确定了每种行为状态所花费时间的概率密度函数。这些持续时间通过约0.3的扩展指数分布很好地拟合。这表明行为状态之间的切换不是随机的马尔可夫过程,而是一种行为状态切换的概率随着在该行为状态中已经花费的时间而降低的过程。在那些没有达成共识的群体中,这种“记忆”的程度更强,冲突的破坏性要强于那些群体。通过让每个人都听录音并移动计算机鼠标以回忆他们在谈话中的每个时刻的消极或积极的情绪价来测量情绪数据。我们使用赫斯特重新定标范围分析和功率谱来确定情绪化合价波动中的相关性。随机走动可以很好地描述情绪化合价,其增量是不相关的。因此,行为数据显示出已经在行为状态下花费的持续时间的“记忆”,而情绪数据则作为随机行走而波动,其步阶没有先前的步阶“记忆”。这项工作表明,更常用于分析物理现象的统计分析还可以为社会心理学和冲突管理过程的动态变化提供有趣的启示。

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