| Literature DB >> 30044711 |
Gregory A Bryant1,2, Daniel M T Fessler2,3, Riccardo Fusaroli4,5, Edward Clint2,3, Dorsa Amir6, Brenda Chávez7, Kaleda K Denton8, Cinthya Díaz7, Lealaiauloto Togiaso Duran3, Jana Fanćovićová9, Michal Fux10, Erni Farida Ginting11,12, Youssef Hasan13, Anning Hu14, Shanmukh V Kamble15, Tatsuya Kameda16, Kiri Kuroda16, Norman P Li17, Francesca R Luberti18, Raha Peyravi19, Pavol Prokop9,20, Katinka J P Quintelier21, Hyun Jung Shin22, Stefan Stieger23,24, Lawrence S Sugiyama25, Ellis A van den Hende26, Hugo Viciana-Asensio27, Saliha Elif Yildizhan28, Jose C Yong17, Tessa Yuditha11,29, Yi Zhou14.
Abstract
Laughter is a nonverbal vocalization occurring in every known culture, ubiquitous across all forms of human social interaction. Here, we examined whether listeners around the world, irrespective of their own native language and culture, can distinguish between spontaneous laughter and volitional laughter-laugh types likely generated by different vocal-production systems. Using a set of 36 recorded laughs produced by female English speakers in tests involving 884 participants from 21 societies across six regions of the world, we asked listeners to determine whether each laugh was real or fake, and listeners differentiated between the two laugh types with an accuracy of 56% to 69%. Acoustic analysis revealed that sound features associated with arousal in vocal production predicted listeners' judgments fairly uniformly across societies. These results demonstrate high consistency across cultures in laughter judgments, underscoring the potential importance of nonverbal vocal communicative phenomena in human affiliation and cooperation.Entities:
Keywords: cross-cultural; emotion; laughter; open data; speech; vocal communication
Mesh:
Year: 2018 PMID: 30044711 DOI: 10.1177/0956797618778235
Source DB: PubMed Journal: Psychol Sci ISSN: 0956-7976