A nonverbal signal in voices of interview partners effectively predicts communication accommodation and social status perceptions.
A nonverbal signal in voices of interview partners effectively predicts communication accommodation and social status perceptions.
复制标题
访谈对象声音中的非语言信号可以有效地预测沟通适应和社会地位感知。
DOI：
10.1037//0022-3514.70.6.1231
复制
发表时间：
1996
影响因子：
7.6
通讯作者：
S. Webster
中科院分区：
文献类型：
--
作者：
S. W. Gregory;S. Webster
从非语言交流住宿理论的推导进行了测试，这方面的知识在理论上和方法上都得到了扩展。通过对访谈节目主持人和嘉宾之间的25个二元访谈中的低频非语言信号进行快速傅立叶变换和统计分析，揭示了伴侣之间的声音趋同。从合作伙伴的语音频谱比较和相关矩阵的因素分析的相关系数表明，较低的地位合作伙伴通过非语言信号，以适应他们的声音，以更高的地位合作伙伴。同一个脱口秀节目的主持人和嘉宾的社会地位的学生评级与因素负荷，从而提供收敛效度的非语言信号作为预测的社会地位的看法和住宿。
Derivations from nonverbal communications accommodation theory are tested, and this knowledge is extended both theoretically and methodologically. Fast fourier transform and statistical analysis of a low-frequency nonverbal signal-in voices from 25 dyadic interviews between a talk show host and his guests revealed voice convergence between partners. Correlation coefficients from comparisons of partners' voice spectra and factor analysis of the correlation matrix showed that lower status partners accommodated their voices to higher status partners via the nonverbal signal. Student ratings of the social status of the same talk show host and guests were correlated with factor loadings, thereby providing convergent validity of the nonverbal signal as a predictor of social status perceptions and accommodation.