从多维语音表征追踪动态社交印象

IF 16.7 1区心理学 Q1 BEHAVIORAL SCIENCES

Trends in Cognitive Sciences Pub Date : 2024-10-01 Epub Date: 2024-09-09 DOI:10.1016/j.tics.2024.08.005

Xiaoming Jiang, Marc D Pell

引用次数: 0

摘要

Lavan 等人的最新研究探讨了个人如何从声音中形成复杂的印象。该研究利用脑电图和行为测量方法，确定了辨别特征的不同时间过程，早期的声音处理先于高阶感知。这些发现揭示了基于声音的人物感知的时间动态及其神经基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Tracking dynamic social impressions from multidimensional voice representation.

Recent research by Lavan et al. explores how individuals form complex impressions from voices. Using electroencephalography and behavioral measures, the study identifies distinct time courses for discerning traits, with early acoustic processing preceding higher-order perception. These findings shed light on the temporal dynamics of voice-based person perception and its neural underpinnings.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Trends in Cognitive Sciences 医学-行为科学

CiteScore

27.90

自引率

1.50%

发文量

156

审稿时长

6-12 weeks

期刊介绍： Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.