Evidence map›Paper›PMID 37995082›Full record

ArticleCognitive processing2024

'Should we laugh?' Acoustic features of (in)voluntary laughters in spontaneous conversations.

Valéria Krepsz, Viktória Horváth, Anna Huszár, Tilda Neuberger, Dorottya Gyarmathy

Abstract read
In one paragraph

Article in Cognitive processing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Valéria KrepszHUN-REN Hungarian Research Centre for Linguistics, Benczúr U. 33, 1068, Budapest, Hungary. krepszvaleria@gmail.com.ORCID http://orcid.org/0000-0002-2099-6285
Viktória HorváthHUN-REN Hungarian Research Centre for Linguistics, Benczúr U. 33, 1068, Budapest, Hungary.ORCID http://orcid.org/0000-0001-8476-7556
Anna HuszárHUN-REN Hungarian Research Centre for Linguistics, Benczúr U. 33, 1068, Budapest, Hungary.ORCID http://orcid.org/0000-0002-2951-1918
Tilda NeubergerHUN-REN Hungarian Research Centre for Linguistics, Benczúr U. 33, 1068, Budapest, Hungary.
Dorottya GyarmathyHUN-REN Hungarian Research Centre for Linguistics, Benczúr U. 33, 1068, Budapest, Hungary.ORCID http://orcid.org/0000-0003-0738-7925

Funding

National Research, Development and Innovation Office 128810
6 · The paper itself

Abstract

Laughter is one of the most common non-verbal features; however, contrary to the previous assumptions, it may also act as signals of bonding, affection, emotional regulation agreement or empathy (Scott et al. Trends Cogn Sci 18:618-620, 2014). Although previous research agrees that laughter does not form a uniform group in many respects, different types of laughter have been defined differently by individual research. Due to the various definitions of laughter, as well as their different methodologies, the results of the previous examinations were often contradictory. The analysed laughs were often recorded in controlled, artificial situations; however, less is known about laughs from social conversations. Thus, the aim of the present study is to examine the acoustic realisation, as well as the automatic classification of laughter that appear in human interactions according to whether listeners consider them to be voluntary or involuntary. The study consists of three parts using a multi-method approach. Firstly, in the perception task, participants had to decide whether the given laughter seemed to be rather involuntary or voluntary. In the second part of the experiment, those sound samples of laughter were analysed that were considered to be voluntary or involuntary by at least 66.6% of listeners. In the third part, all the sound samples were grouped into the two categories by an automatic classifier. The results showed that listeners were able to distinguish laughter extracted from spontaneous conversation into two different types, as well as the distinction was possible on the basis of the automatic classification. In addition, there were significant differences in acoustic parameters between the two groups of laughter. The results of the research showed that, although the distinction between voluntary and involuntary laughter categories appears based on the analysis of everyday, spontaneous conversations in terms of the perception and acoustic features, there is often an overlap in the acoustic features of voluntary and involuntary laughter. The results will enrich our previous knowledge of laughter and help to describe and explore the diversity of non-verbal vocalisations.

Indexed as

LaughterAcousticsCommunicationEmpathyHumansSoundLaughterNon-verbal featureSpeech perceptionSpeech productionSpontaneous speechVoluntary–involuntary

Identifiers

PMID37995082
PMCPMC10828014

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.