Literature DB >> 27071114

Detecting affiliation in colaughter across 24 societies.

Gregory A Bryant1, Daniel M T Fessler2, Riccardo Fusaroli3, Edward Clint2, Lene Aarøe4, Coren L Apicella5, Michael Bang Petersen4, Shaneikiah T Bickham6, Alexander Bolyanatz7, Brenda Chavez8, Delphine De Smet9, Cinthya Díaz8, Jana Fančovičová10, Michal Fux11, Paulina Giraldo-Perez12, Anning Hu13, Shanmukh V Kamble14, Tatsuya Kameda15, Norman P Li16, Francesca R Luberti2, Pavol Prokop17, Katinka Quintelier18, Brooke A Scelza2, Hyun Jung Shin19, Montserrat Soler20, Stefan Stieger21, Wataru Toyokawa22, Ellis A van den Hende23, Hugo Viciana-Asensio24, Saliha Elif Yildizhan25, Jose C Yong16, Tessa Yuditha26, Yi Zhou13.   

Abstract

Laughter is a nonverbal vocal expression that often communicates positive affect and cooperative intent in humans. Temporally coincident laughter occurring within groups is a potentially rich cue of affiliation to overhearers. We examined listeners' judgments of affiliation based on brief, decontextualized instances of colaughter between either established friends or recently acquainted strangers. In a sample of 966 participants from 24 societies, people reliably distinguished friends from strangers with an accuracy of 53-67%. Acoustic analyses of the individual laughter segments revealed that, across cultures, listeners' judgments were consistently predicted by voicing dynamics, suggesting perceptual sensitivity to emotionally triggered spontaneous production. Colaughter affords rapid and accurate appraisals of affiliation that transcend cultural and linguistic boundaries, and may constitute a universal means of signaling cooperative relationships.

Entities:  

Keywords:  cooperation; cross-cultural; laughter; signaling; vocalization

Mesh:

Year:  2016        PMID: 27071114      PMCID: PMC4855576          DOI: 10.1073/pnas.1524993113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


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