Can we infer someone’s cultural group from their laugher, even when we do not know what they are laughing at? And what kind of laughter do we find most positive? A new study by researchers from the University of Amsterdam with international colleagues shows that our laughter gives us away. The study included Dutch and Japanese producers of laughter and listeners. Listeners could detect whether a laughing person is from their own or another cultural group by only hearing a brief laughter segment. Spontaneous laughter was rated as most positive by both groups. The results are now published in a special issue on voice modulation of Philosophical Transactions B.
Laughter is a strong nonverbal vocalization, which is frequently used to signal affiliation, reward, or cooperative intent, and often helps to maintain and strengthen social bonds. An important distinction is between spontaneous and voluntary laughter. Spontaneous laughter is typically an uncontrolled reaction, for instance to hilarious jokes, and includes hard-to-fake acoustic features. Voluntary laughter is produced by purposefully modulating vocal output, for instance for a preening boss, reflecting a more deliberate communicative act like conveying polite agreement.
Recent research suggests that we are better able to identify individual speakers based on voluntary laughter than on spontaneous laughter. Voluntary laughter, being produced with greater vocal control, would encode more reliable information about the producer.
Furthermore, emotional expressive styles like laughter systematically differ across cultural groups. These differences are notable to listeners, making perceivers more accurate in recognizing emotions from vocal expressions produced by individuals from their own cultural group as compared to others.
Researchers from the University of Amsterdam with international colleagues build on this work and examined whether laughter type influences the identification not only of individuals, but also of groups. Specifically, they tested if it holds true that group membership is easier to identify from voluntary than from spontaneous laughter. They furthermore explored how the perceived positivity of laughter differs between the two types of laughter across cultures, with the expectation that spontaneous laughter might sound more positive.
In their study the researchers employed laughter clips that were spontaneously or voluntarily produced by Dutch and Japanese individuals. Dutch (n = 273) and Japanese (n = 131) participants listened to these decontextualized laughter clips and:
Analyzing these data, the authors find that listeners were able to detect group membership from both spontaneous and voluntary laughter, and equally well. Spontaneous laughter was rated as more positive than voluntary laughter across the two cultures, and in-group laughs were perceived as more positive than out-group laughs by Dutch but not Japanese listeners.
‘Our results demonstrate that listeners can detect whether a laughing person is from their own or another cultural group at better-than-chance accuracy levels based on only hearing a brief laughter segment’, conclude the authors. ‘Contrary to prediction, we found no advantage for the notion that participants would be better at identifying group membership from voluntary laughter.’
These findings add to the growing literature on laughter as a rich vocal signal that can be used by listeners to make a wide range of inferences about others, from their social relationships to their identity.
Roza G. Kamiloğlu, Akihiro Tanaka, Sophie K. Scott and Disa A. Sauter, 2021, Perception of group membership from spontaneous and volitional laughter Special issue on voice modulation, in: Philosophical Transactions B
This article is part of the theme issue ‘Voice modulation: from origin and mechanism to social impact (part II)’. This two-part issue showcases the diverse functions of voice modulation in human and nonhuman nonverbal communication, from signalling motivation and emotion, exaggerating biological traits like body size and masculinity, to enabling song and musicality across cultures. This theme issue is compiled and edited by Juan David Leongómez, Katarzyna Pisanski, David Reby, Disa Sauter, Nadine Lavan, Marcus Perlman and Jaroslava Varella Valentova