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Advisor(s)
Abstract(s)
The human voice is a primary tool for verbal and nonverbal communication.
Studies on laughter emphasize a distinction between spontaneous laughter,
which reflects a genuinely felt emotion, and volitional laughter, associated
with more intentional communicative acts. Listeners can reliably differentiate
the two. It remains unclear, however, if they can detect authenticity in other
vocalizations, and whether authenticity determines the affective and social
impressions that we form about others. Here, 137 participants listened to
laughs and cries that could be spontaneous or volitional and rated them on
authenticity, valence, arousal, trustworthiness and dominance. Bayesian
mixed models indicated that listeners detect authenticity similarly well in
laughter and crying. Speakers were also perceived to be more trustworthy,
and in a higher arousal state, when their laughs and cries were spontaneous.
Moreover, spontaneous laughs were evaluated as more positive than volitional
ones, and we found that the same acoustic features predicted perceived authenticity and trustworthiness in laughter: high pitch, spectral variability and
less voicing. For crying, associations between acoustic features and ratings
were less reliable. These findings indicate that emotional authenticity shapes
affective and social trait inferences from voices, and that the ability to detect
authenticity in vocalizations is not limited to laughter.
This article is part of the theme issue ‘Voice modulation: from origin and
mechanism to social impact (Part I)’.
Description
Keywords
Voice Emotion Authenticity Social traits Acoustics
Pedagogical Context
Citation
Pinheiro, A. P., Anikin, A., Conde, T., Sarzedas, J., Chen, S., Scott, S. K., & Lima, C. F. (2021). Emotional authenticity modulates affective and social trait inferences from voices. Philosophical Transactions of the Royal Society B, 376(1840), 20200402. https://doi.org/10.1098/rstb.2020.0402
Publisher
The Royal Society
