Detecting affiliation in colaughter across 24 societies

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

  • Gregory A. Bryant
  • ,
  • Daniel M. T. Fessler
  • ,
  • Riccardo Fusaroli
  • Edward Clint
  • ,
  • Lene Aarøe
  • Coren L. Apicella
  • ,
  • Michael Bang Petersen
  • Shaneikiah T. Bickham
  • ,
  • Alexander Bolyanatz
  • ,
  • Brenda Chavez
  • ,
  • Delphine De Smet
  • ,
  • Cinthya Díaz
  • ,
  • Jana Fančovičová
  • ,
  • Michal Fux
  • ,
  • Paulina Giraldo-Perez
  • ,
  • Anning Hu
  • ,
  • Shanmukh V. Kamble
  • ,
  • Tatsuya Kameda
  • ,
  • Norman P. Li
  • ,
  • Francesca R. Luberti
  • ,
  • Pavol Prokop
  • ,
  • Katinka Quintelier
  • ,
  • Brooke A. Scelza
  • ,
  • Hyun Jung Shin
  • ,
  • Montserrat Soler
  • ,
  • Stefan Stieger
  • ,
  • Wataru Toyokawa
  • ,
  • Ellis A. van den Hende
  • ,
  • Hugo Viciana-Asensio
  • ,
  • Saliha Elif Yildizhan
  • ,
  • Jose C. Yong
  • ,
  • Tessa Yuditha
  • ,
  • Yi Zhou
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.
OriginalsprogUdefineret/Ukendt
TidsskriftProceedings of the National Academy of Sciences of the United States of America
Vol/bind113
Nummer17
Sider (fra-til)4682–4687
Antal sider6
ISSN0027-8424
DOI
StatusUdgivet - 2016

Se relationer på Aarhus Universitet Citationsformater

Download-statistik

Ingen data tilgængelig

ID: 99051338