Good vibrations: A review of vocal expressions of positive emotions

R.G. Kamiloğlu, Agneta Fischer, Disa Sauter

Research output: Contribution to JournalReview articleAcademicpeer-review

Abstract

Researchers examining nonverbal communication of emotions are becoming increasingly interested in differentiations between different positive emotional states like interest, relief, and pride. But despite the importance of the voice in communicating emotion in general and positive emotion in particular, there is to date no systematic review of what characterizes vocal expressions of different positive emotions. Furthermore, integration and synthesis of current findings are lacking. In this review, we comprehensively review studies (N = 108) investigating acoustic features relating to specific positive emotions in speech prosody and nonverbal vocalizations. We find that happy voices are generally loud with considerable variability in loudness, have high and variable pitch, and are high in the first two formant frequencies. When specific positive emotions are directly compared with each other, pitch mean, loudness mean, and speech rate differ across positive emotions, with patterns mapping onto clusters of emotions, so-called emotion families. For instance, pitch is higher for epistemological emotions (amusement, interest, relief), moderate for savouring emotions (contentment and pleasure), and lower for a prosocial emotion (admiration). Some, but not all, of the differences in acoustic patterns also map on to differences in arousal levels. We end by pointing to limitations in extant work and making concrete proposals for future research on positive emotions in the voice.
Original languageEnglish
Pages (from-to)237-265
Number of pages29
JournalPsychonomic Bulletin & Review
Volume27
Issue number2
Early online date2 Jan 2020
DOIs
Publication statusPublished - Apr 2020

Funding

R.G.K. and D.A.S. are supported by ERC Starting grant 714977 awarded to D.A.S. R.G.K. and D.A.S. are supported by ERC Starting grant 714977 awarded to D.A.S. The list of reviewed studies and data used for analysis have been provided within this paper.

FundersFunder number
ERC Starting
D.A.S.
European Research Council
Horizon 2020 Framework Programme714977
Not added15900

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