Sandstrom Gillian M, Tseng Vincent Wen-Sheng, Costa Jean, Okeke Fabian, Choudhury Tanzeem, Dunn Elizabeth W
Department of Psychology, University of British Columbia, Vancouver, B.C., Canada.
Department of Information Science, Cornell University, Ithaca, N.Y., United States of America.
PLoS One. 2016 Jul 20;11(7):e0158834. doi: 10.1371/journal.pone.0158834. eCollection 2016.
Can we predict which conversations are enjoyable without hearing the words that are spoken? A total of 36 participants used a mobile app, My Social Ties, which collected data about 473 conversations that the participants engaged in as they went about their daily lives. We tested whether conversational properties (conversation length, rate of turn taking, proportion of speaking time) and acoustical properties (volume, pitch) could predict enjoyment of a conversation. Surprisingly, people enjoyed their conversations more when they spoke a smaller proportion of the time. This pilot study demonstrates how conversational properties of social interactions can predict psychologically meaningful outcomes, such as how much a person enjoys the conversation. It also illustrates how mobile phones can provide a window into everyday social experiences and well-being.
我们能否在不听对话内容的情况下预测哪些对话是令人愉快的？共有36名参与者使用了一款名为“我的社交关系”的移动应用程序，该程序收集了参与者在日常生活中进行的473次对话的数据。我们测试了对话属性（对话长度、轮流发言频率、说话时间占比）和声学属性（音量、音高）是否能够预测对话的愉悦程度。令人惊讶的是，当人们说话时间占比越小，他们对对话就越感兴趣。这项初步研究展示了社交互动的对话属性如何能够预测心理上有意义的结果，比如一个人对对话的喜爱程度。它还说明了手机如何能够为日常社交体验和幸福感提供一扇窗口。
