Trait anxiety modulates the detection sensitivity of negative affect in speech: an online pilot study.

acoustic emotion anxiety disgust fear signal detection theory

Journal

Frontiers in behavioral neuroscience
ISSN: 1662-5153
Titre abrégé: Front Behav Neurosci
Pays: Switzerland
ID NLM: 101477952

Informations de publication

Date de publication:
2023
Historique:
received: 14 06 2023
accepted: 21 08 2023
medline: 25 9 2023
pubmed: 25 9 2023
entrez: 25 9 2023
Statut: epublish

Résumé

Acoustic perception of emotions in speech is relevant for humans to navigate the social environment optimally. While sensory perception is known to be influenced by ambient noise, and bodily internal states (e.g., emotional arousal and anxiety), their relationship to human auditory perception is relatively less understood. In a supervised, online pilot experiment sans the artificially controlled laboratory environment, we asked if the detection sensitivity of emotions conveyed by human speech-in-noise (acoustic signals) varies between individuals with relatively lower and higher levels of subclinical trait-anxiety, respectively. In a task, participants (

Identifiants

pubmed: 37744950
doi: 10.3389/fnbeh.2023.1240043
pmc: PMC10512416
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1240043

Informations de copyright

Copyright © 2023 K, Prasad and Chakrabarty.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Achyuthanand K (A)

Department of Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, India.

Saurabh Prasad (S)

Department of Computer Science and Engineering, Indraprastha Institute of Information Technology Delhi, New Delhi, India.

Mrinmoy Chakrabarty (M)

Department of Social Sciences and Humanities, Indraprastha Institute of Information Technology Delhi, New Delhi, India.
Centre for Design and New Media, Indraprastha Institute of Information Technology Delhi, New Delhi, India.

Classifications MeSH