{"title":"从多维语音表征追踪动态社交印象","authors":"Xiaoming Jiang, Marc D Pell","doi":"10.1016/j.tics.2024.08.005","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":49417,"journal":{"name":"Trends in Cognitive Sciences","volume":" ","pages":"878-880"},"PeriodicalIF":16.7000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tracking dynamic social impressions from multidimensional voice representation.\",\"authors\":\"Xiaoming Jiang, Marc D Pell\",\"doi\":\"10.1016/j.tics.2024.08.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":49417,\"journal\":{\"name\":\"Trends in Cognitive Sciences\",\"volume\":\" \",\"pages\":\"878-880\"},\"PeriodicalIF\":16.7000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Cognitive Sciences\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1016/j.tics.2024.08.005\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/9 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Cognitive Sciences","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1016/j.tics.2024.08.005","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
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.
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.
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